was read the article
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Jacinto, A. Morais, J.A. Fonseca" "autores" => array:3 [ 0 => array:4 [ "nombre" => "T." "apellidos" => "Jacinto" "email" => array:1 [ 0 => "tiagojacinto@med.up.pt" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "A." "apellidos" => "Morais" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "J.A." "apellidos" => "Fonseca" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Biostatistics and Medical Informatics Department & CINTESIS, Faculdade de Medicina da Universidade do Porto, Porto, Portugal" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Pulmonology Department, Faculdade de Medicina da Universidade do Porto, Porto, Portugal" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "pt" => array:1 [ "titulo" => "Como escrever um artigo científico - Pesquisa e gestão da informação biomédica" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 763 "Ancho" => 2556 "Tamanyo" => 96449 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Boolean Operators</span></p> <p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Dark grey area represent the output of your search, which is the result of the combination of the terms and the operators.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">There is a massive and complex body of biomedical information, that keeps on growing daily. There are over 20 million references and nearly 5000 journals in Pubmed alone. For instance, the number of asthma related publications in MEDLINE rose from 586 in 1965 to an overwhelming 110351 in 2010. Moreover, health and life sciences represent most of the records and journals in ISI Web of Knowledge, with more items than exact, social and biological sciences.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Nowadays, health professionals need to be able to recognize the need for new and updated information and knowledge, to identify and locate relevant sources, know how to access them, how to appraise the information and how to organize it. Biomedical literature tells us what is already known and helps prepare future work.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> Furthermore, it is an essential component of the clinical decision, along with clinical experience and the values and preferences of patients.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> There is evidence that immediately available online information can change and improve clinical decisions. Searching MEDLINE when inpatients are admitted significantly reduces costs and length of stay.<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> In a study by Crowley et al, 77% of 625 clinical questions of Internal Medicine residents were answered using MEDLINE, which led to 47% of changes in clinical management.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The aim of this paper is to address some topics on searching and managing biomedical information. We will discuss the construction of a search query and the development of a search strategy. We will use PubMed as an example, and demonstrate some of the tools that are provided. Hopefully, you will find some of the topics discussed useful when trying to find a specific answer to a question arising in your practice or engaging on a systematic search of data and information to access the current knowledge or ignorance in your medical field.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Searching Biomedical Information</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">What to search?</span><p id="par0020" class="elsevierStylePara elsevierViewall">You are searching for scientific publications, usually called the “literature”, which are reports of empirical or theoretical scientific work. They can be very varied, such as journals, conference proceedings, books, technical reports, leaflets or patents. You will most frequently tend to be searching for scientific articles in journals, which are indexed in different online databases (based on various criterions, such as the existence of peer review, the scientific field and the periodicity of publications, amongst others). The first medical journal was the New England Journal of Medicine, with its first article published in 1812.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> Nowadays, MEDLINE alone indexes more than 5500 journals.<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">It is possible to understand the influence of biomedical journals with the help of citation analysis. There are many techniques and indexes, but perhaps the most famous is the Impact Factor. The Impact Factor is the number of citations in the current year of items published in the previous 2 years divided by the number of substantive articles and reviews published in the same 2 years.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> For example, if a journal has an Impact Factor of 5 in 2008, it means that the papers published in 2006 and 2007 had an average of 5 citations in 2008. The analysis of the Impact Factor should be made with caution, since there are several factors that can influence this index, such as the citation distribution of journals, the publication lag and the online availability of publications. These issues are further discussed by Dong et al.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> Furthermore, you should not compare Impact Factors of different medical fields, because of different citation properties, such as citation density and half-life.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">You can find the annual reports of the Impact Factor and other indexes in the Journal Citation Report, provided by Thomson Reuters (more info at <a href="http://go.thomsonreuters.com/jcr">http://go.thomsonreuters.com/jcr</a>). The top ten journals of the General and Internal Medicine, as of 2009, are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Search strategy</span><p id="par0035" class="elsevierStylePara elsevierViewall">Before you begin your search, you should define a strategy. A search strategy is a set of simple actions that maximize the effectiveness of your search.</p><p id="par0040" class="elsevierStylePara elsevierViewall">The first step is to frame a focused and consistent question to ask. A technique that aids the construction of the question is to use a structured framework. There are many frameworks, but the most referred is PICO.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> PICO stands for Patient/Population/Problem, Intervention/Exposure, Comparison and Outcome, and can be extended to include the Type of question being asked (therapy, diagnosis, prognosis, etc.) and the Type of study design.<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> For example, you may ask if a shot of a steroid could work as well as five days of oral steroids in a young child after an asthma exacerbation. The question, based on the PICO framework, would be “Among young children with acute asthma exacerbation (Population), is a single dose of IM dexamethasone (Intervention) comparable to five days of oral prednisolone (Comparison) for resolution of asthma symptoms (Outcome)?”.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> In this case, you could also consider searching for Therapy studies, usually Randomized Controlled Trials.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Next, using the components outlined with PICO, define the concepts you want to include in your query, followed by synonyms and alternative terms. Delineate the specifics of your search: temporal interval (last 5 years, last decade, etc.), type of study (systematic reviews, randomized controlled trials, cohort studies, etc.) and participants characteristics (age, gender, etc.).</p><p id="par0050" class="elsevierStylePara elsevierViewall">The best search strategies for a particular question are often achieved through trial and error, so keep on practising. The efficacy of your query will improve with time and experience.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Where to search?</span><p id="par0055" class="elsevierStylePara elsevierViewall">There are many databases and search engines you can use. There are databases of specific types of studies, or specific diseases or conditions. You can find some examples in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>, adapted from Pai et al.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> and Hull et al.<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a></p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">PubMed has gained a high profile and authority in the biomedical field throughout the years. Because it is easy and quick to use and providing free access,<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> we will use it as an example. We believe that satisfactory search techniques are easily replicated in all search engines and databases. However, be warned that if you are conducting a systematic review, where search methods are fundamental to the validity of the study, using PubMed alone may not be sufficient, and you should include other databases and search engines.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Pubmed was created in 1997 by the National Library of Medicine of USA, with the aim of providing free access to MEDLINE, a large biomedical database. It has over 20 million citations, 6000 journals, and 57 languages and is known for covering a large spectrum of clinical, biomedicine, bioethics and life sciences journals, covering publications since 1950.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> You will not find the full text of the paper you are searching in PubMed, but instead, you will have external links to the full-text and also the possibility of navigating through related articles.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Searching Pubmed</span><p id="par0070" class="elsevierStylePara elsevierViewall">PubMed has been recently updated, and now has a cleaner and more user-friendly interface. The search-box is available everywhere in the site, and you can use it whenever you want. Just fill in your query in the search box and click “Go”.</p><p id="par0075" class="elsevierStylePara elsevierViewall">You will most probably have several terms in your query, and you may combine them using special words. They are the Boolean operators, created by George Boole in the XIX century. You can use <span class="elsevierStyleBold">AND</span>, <span class="elsevierStyleBold">OR</span> and <span class="elsevierStyleBold">NOT</span> (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">Using <span class="elsevierStyleBold">AND</span> will narrow the results of your search, selecting only articles that contain all the terms linked with the operator, whereas <span class="elsevierStyleBold">OR</span> will “explode” the search, increasing the number of results.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> You can see some examples in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">The terms of your query can also be truncated, using a wildcard character, “*”. For instance, if you search for “Alerg*”, your output will include references with the terms “Allergy”, “Allergen” and “Allergic”. Moreover, there is a list of common words in the English language that are ignored when searching PubMed. They are known as “Stopwords”, and the output generated when searching with these words would probably include all references available! They should not be included in your query.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Another useful feature of PubMed is that it is possible to specify a field in which a term should be applied. All references in PubMed are defined with several descriptors, such as Author, Journal, Publication Date, Title, etc. You can mark a term in your query with square brackets, so that it only applies to the specific descriptor. <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> shows examples of some descriptors and how to use them.</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">And of course, you can combine all these possibilities:</p><p id="par0100" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Wyatt J [au] AND BMJ [ta] AND last 5 years [dp]</span> – Outputs all references with an author called Wyatt J, that have been published in the British Medical Journal in the last 5 years.</p><p id="par0105" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Asthma AND 2007 [dp] AND treatment [tiab]</span> – Outputs all references with the term “Asthma”, published in 2007 and which contain the term “treatment” in both the title and the abstract.</p><p id="par0110" class="elsevierStylePara elsevierViewall">PubMed also offers some useful tools, of which we describe the most relevant ones.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">MeSH Terms</span><p id="par0115" class="elsevierStylePara elsevierViewall">You can search PubMed using only keywords, but this method has some limitations. Using thesaurus-based searching may be more appropriate. Indexers assign descriptors to each reference, from a controlled list of subject terms. The terms used in PubMed are called MeSH Terms, acronym for Medical Subject Headings. There are over 23000 terms, updated weekly and reviewed annually. They have a hierarchical division, with narrower terms under broader terms.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> For example, the term for Chronic Obstructive Pulmonary Disease is “Pulmonary Disease, Chronic Obstructive”, and is organized under Lung Diseases, Obstructive<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>Lung Diseases<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>Respiratory Tract Diseases<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>Diseases. You can learn more about MeSH terms in a specific section of the website of the National Library of Medicine, available at <a href="http://www.nlm.nih.gov/mesh">http://www.nlm.nih.gov/mesh</a>.</p><p id="par0120" class="elsevierStylePara elsevierViewall">There are advantages when you use MeSH terms in your query. They link synonyms, grammatical and spelling alternatives together and represent unique meanings for homonyms words. Moreover, they should ensure more relevant references in the output of your search. MeSH terms facilitate the design of your query by allowing broader (“exploding”) or narrower searches (using “subheadings”). The disadvantages are that the indexer attribution of a term may be wrong, leading to false positive results and also that recent concepts may not yet have a MeSH term.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> There is no “right” way to use MeSH Terms or keywords, so try different combinations to see which one works best with your question.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Limits</span><p id="par0125" class="elsevierStylePara elsevierViewall">With this tool, you can apply limits to your search, as you may have defined in your search strategy. You can state, amongst other things, the range of the date of publication, types of articles to be included, species (humans or animals), languages, study participant's gender and age group.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Clinical queries</span><p id="par0130" class="elsevierStylePara elsevierViewall">Clinical queries are a set of instruments that add detailed components to your query, with the aim of improving your results. You can define if you only want to search systematic reviews or genetic studies. You can also include particular study types, such as etiology, diagnostic, therapeutics (default choice) or prognostic studies. Furthermore, you can say if you want your search to be more narrow and specific (fewer results but more accurate) or to be more broad and sensitive (more results but less accurate).</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Journal Database</span><p id="par0135" class="elsevierStylePara elsevierViewall">You can use this database to search for a particular journal. It is very useful if you want, for instance, to only retrieve articles from a given journal or analyze the publications of a journal in a specific medical field.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Single Citation Matcher</span><p id="par0140" class="elsevierStylePara elsevierViewall">If you want to search for an individual article, it may be easier to use the single citation matcher. Just fill in the details of the reference you are interested in (journal, date, author name and title words). The more details you enter, the more accurate the search.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">What to do with too many / too few results?</span><p id="par0145" class="elsevierStylePara elsevierViewall">If you have too many results, it is probably best to refine the search terms. Use fewer synonyms or try to search only in the title of the references. Also, try to use Limits to restrict your search.</p><p id="par0150" class="elsevierStylePara elsevierViewall">When you have too few or no results, search for errors in your query. Use broader terms and increase the timespan of your search. Try to use more concepts and terms, while removing terms that are very specific.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Getting the full-text</span><p id="par0155" class="elsevierStylePara elsevierViewall">When you open a reference in PubMed, we will most probably find links to external sites where you can download the full-text of the article. They can refer to libraries, the website of the journal, or to online open-access repositories, such as PubMed Central (<a href="http://www.ncbi.nlm.nih.gov/pmc">www.ncbi.nlm.nih.gov/pmc</a>). Some journals or repositories will require a subscription or a single “pay-per-view” to give you access to the full-text of the article. However, most academic and research institutions have access to relevant databases and journals, and you can try getting the full-text through them.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Managing results</span><p id="par0160" class="elsevierStylePara elsevierViewall">There are many methods that you can use to store the results of your search. You can write them in your notebook (not advisable!), save them in a text file or a spreadsheet, or use specific software called “Bibliographic Managers”.</p><p id="par0165" class="elsevierStylePara elsevierViewall">Bibliographic Managers offer many features to save and use bibliographical references, and are usually very flexible and versatile. They can be used to store references to items in many different formats and material types, search and output references in many citation styles, import references directly from online databases, insert references in a document and generate bibliographies, and also store links to documents related to the references.<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18,19</span></a></p><p id="par0170" class="elsevierStylePara elsevierViewall">Bibliographic managers are available in many formats and have a long list of features, so you should try them (most are free and easy to install) to see which applies best to your workflow.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> There are commercial, free, open-source and web-based options. Probably the best known commercial software is Endnote (<a href="http://www.endnote.com/">http://www.endnote.com</a>) or Reference Manager (<a href="http://www.refman.com/">http://www.refman.com</a>). Other options include Mendeley (<a href="http://www.mendeley.com/">http://www.mendeley.com</a>) and Zotero (<a href="http://www.zotero.org/">http://www.zotero.org</a>), both free. For web-based bibliographic managers, you can try CiteULike (<a href="http://citeulike.org/">http://citeulike.org</a>) or Connotea (<a href="http://www.connotea.org/">http://www.connotea.org</a>).</p></span></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conclusion</span><p id="par0175" class="elsevierStylePara elsevierViewall">Being able to search and identify relevant data and information is essential for the clinical decision and for clinical research. There are a number of rules and concepts, that are easy to apprehend and to use, and which considerably improve the outputs of your search.</p><p id="par0180" class="elsevierStylePara elsevierViewall">As Isaac Newton said, “If I have seen further it is by standing on the shoulders of giants”. In the Internet era, there are many “giants” of information available for you to use. Carefully define your aims and design your question, and with some practice and experience, you will find your “needle in a haystack”.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 1 => array:3 [ "identificador" => "sec0010" "titulo" => "Searching Biomedical Information" "secciones" => array:12 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "What to search?" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Search strategy" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Where to search?" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Searching Pubmed" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "MeSH Terms" ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Limits" ] 6 => array:2 [ "identificador" => "sec0045" "titulo" => "Clinical queries" ] 7 => array:2 [ "identificador" => "sec0050" "titulo" => "Journal Database" ] 8 => array:2 [ "identificador" => "sec0055" "titulo" => "Single Citation Matcher" ] 9 => array:2 [ "identificador" => "sec0060" "titulo" => "What to do with too many / too few results?" ] 10 => array:2 [ "identificador" => "sec0065" "titulo" => "Getting the full-text" ] 11 => array:2 [ "identificador" => "sec0070" "titulo" => "Managing results" ] ] ] 2 => array:2 [ "identificador" => "sec0075" "titulo" => "Conclusion" ] 3 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2011-04-26" "fechaAceptado" => "2011-05-02" "multimedia" => array:5 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 763 "Ancho" => 2556 "Tamanyo" => 96449 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Boolean Operators</span></p> <p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Dark grey area represent the output of your search, which is the result of the combination of the terms and the operators.</p>" ] ] 1 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Impact Factor \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total Cites \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Articles \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">New England Journal Of Medicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">216752 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">352 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">The Lancet \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.758 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">152843 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">280 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Journal Of The American Medical Association \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28.899 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">117090 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">234 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Annals Of Internal Medicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.225 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45184 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">174 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">British Medical Journal \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.66 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">71175 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">345 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">PLOS Medicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8425 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">94 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Annual Review Of Medicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4257 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Archives Of Internal Medicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.813 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35977 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">203 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Canadian Medical Association Journal \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.271 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10024 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">98 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Journal Of Internal Medicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.942 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7470 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">105 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab885152.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Top ten journals of General and Internal Medicine (Journal Citation Report, 2009).</p>" ] ] 2 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Database/Search Engine \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Domain \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Size (# references) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Access \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Pubmed (Medline) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Life sciences and Biomedicine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">> 20.000.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Free <span class="elsevierStyleInterRef" href="http://www.pubmed.gov/">http://www.pubmed.gov</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">SciVerse SCOPUS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Broad scientific coverage \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">> 33.000.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Requires Subscription (Elsevier) <span class="elsevierStyleInterRef" href="http://www.info.sciverse.com/scopus">http://www.info.sciverse.com/scopus</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ISI Web of Knowledge \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Broad scientific coverage \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">> 15.000.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Requires Subscription (Thomson Reuters) <span class="elsevierStyleInterRef" href="http://apps.isiknowledge.com/">http://apps.isiknowledge.com</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Google Scholar \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Broad coverage \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Not published \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Free <span class="elsevierStyleInterRef" href="http://scholar.google.com/">http://scholar.google.com</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Embase \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Biomedicine, Pharmacology \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">> 24.000.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Requires subscription (Elsevier) <span class="elsevierStyleInterRef" href="http://www.embase.com/">http://www.embase.com</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Cochrane Database of Systematic Reviews \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Systematic reviews in health care \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">> 6600 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Requires subscription (Wiley Online) <span class="elsevierStyleInterRef" href="http://www.thecochranelibrary.com/">http://www.thecochranelibrary.com</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab885150.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Examples of online databases and search engines.</p>" ] ] 3 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Query \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Output \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Asthma AND Nutrition \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">All references with the term “Asthma” and the term “Nutrition”. \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Stroke OR Myocardial Infarction \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">All references with the term “Stroke” or with the term “Myocardial Infarction” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Allergy NOT rhinitis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">All references with the term “Allergy” but not containing the term “Rhinitis” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Myocardial Infarction AND (smoking OR obesity) AND mortality NOT diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">All references with the term “Myocardial Infarction” and the terms “Smoking” or “Obesity” and “Mortality” but not containing the term “Diabetes” \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab885151.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Use of Boolean operators in search queries.</p>" ] ] 4 => array:7 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Search Descriptor \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Example \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Author [au] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Wyatt J [au] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Journal title [ta] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">BMJ [ta] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Language [la] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Portuguese [la] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Mesh Terms [mh] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Asthma [mh] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Publication Date [dp] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2007 [dp], last 5 years [dp] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Publication type [pt] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Review [pt], clinical trial [pt] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr 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2024 October | 35 | 37 | 72 |
2024 September | 34 | 32 | 66 |
2024 August | 46 | 26 | 72 |
2024 July | 49 | 32 | 81 |
2024 June | 24 | 18 | 42 |
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2024 April | 43 | 30 | 73 |
2024 March | 36 | 24 | 60 |
2024 February | 48 | 20 | 68 |
2024 January | 34 | 34 | 68 |
2023 December | 19 | 30 | 49 |
2023 November | 35 | 29 | 64 |
2023 October | 20 | 31 | 51 |
2023 September | 21 | 33 | 54 |
2023 August | 29 | 11 | 40 |
2023 July | 22 | 28 | 50 |
2023 June | 23 | 16 | 39 |
2023 May | 36 | 25 | 61 |
2023 April | 22 | 17 | 39 |
2023 March | 37 | 23 | 60 |
2023 February | 28 | 16 | 44 |
2023 January | 29 | 22 | 51 |
2022 December | 34 | 21 | 55 |
2022 November | 54 | 33 | 87 |
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2022 September | 27 | 36 | 63 |
2022 August | 30 | 53 | 83 |
2022 July | 25 | 39 | 64 |
2022 June | 20 | 33 | 53 |
2022 May | 36 | 36 | 72 |
2022 April | 30 | 29 | 59 |
2022 March | 24 | 34 | 58 |
2022 February | 34 | 35 | 69 |
2022 January | 29 | 39 | 68 |
2021 December | 25 | 45 | 70 |
2021 November | 30 | 27 | 57 |
2021 October | 31 | 33 | 64 |
2021 September | 28 | 28 | 56 |
2021 August | 30 | 52 | 82 |
2021 July | 26 | 24 | 50 |
2021 June | 36 | 21 | 57 |
2021 May | 38 | 22 | 60 |
2021 April | 49 | 68 | 117 |
2021 March | 61 | 20 | 81 |
2021 February | 56 | 20 | 76 |
2021 January | 50 | 18 | 68 |
2020 December | 41 | 17 | 58 |
2020 November | 62 | 24 | 86 |
2020 October | 34 | 16 | 50 |
2020 September | 44 | 23 | 67 |
2020 August | 52 | 20 | 72 |
2020 July | 84 | 29 | 113 |
2020 June | 108 | 20 | 128 |
2020 May | 98 | 17 | 115 |
2020 April | 108 | 11 | 119 |
2020 March | 80 | 8 | 88 |
2020 February | 86 | 12 | 98 |
2020 January | 100 | 21 | 121 |
2019 December | 75 | 18 | 93 |
2019 November | 85 | 10 | 95 |
2019 October | 82 | 23 | 105 |
2019 September | 76 | 19 | 95 |
2019 August | 138 | 20 | 158 |
2019 July | 136 | 9 | 145 |
2019 June | 141 | 8 | 149 |
2019 May | 154 | 17 | 171 |
2019 April | 121 | 21 | 142 |
2019 March | 147 | 13 | 160 |
2019 February | 164 | 20 | 184 |
2019 January | 179 | 20 | 199 |
2018 December | 106 | 11 | 117 |
2018 November | 22 | 0 | 22 |
2018 October | 30 | 10 | 40 |
2018 September | 26 | 9 | 35 |
2018 August | 47 | 26 | 73 |
2018 July | 59 | 23 | 82 |
2018 June | 110 | 14 | 124 |
2018 May | 86 | 21 | 107 |
2018 April | 135 | 24 | 159 |
2018 March | 91 | 24 | 115 |
2018 February | 35 | 9 | 44 |
2018 January | 40 | 21 | 61 |
2017 December | 42 | 8 | 50 |
2017 November | 38 | 16 | 54 |
2017 October | 33 | 22 | 55 |
2017 September | 32 | 18 | 50 |
2017 August | 42 | 15 | 57 |
2017 July | 37 | 15 | 52 |
2017 June | 35 | 12 | 47 |
2017 May | 62 | 11 | 73 |
2017 April | 26 | 6 | 32 |
2017 March | 33 | 13 | 46 |
2017 February | 27 | 5 | 32 |
2017 January | 20 | 8 | 28 |
2016 December | 23 | 14 | 37 |
2016 November | 27 | 7 | 34 |
2016 October | 28 | 10 | 38 |
2016 September | 21 | 10 | 31 |
2016 August | 15 | 10 | 25 |
2016 July | 5 | 4 | 9 |
2016 June | 3 | 8 | 11 |
2016 May | 6 | 17 | 23 |
2016 April | 20 | 2 | 22 |
2016 March | 45 | 21 | 66 |
2016 February | 65 | 17 | 82 |
2016 January | 59 | 9 | 68 |
2015 December | 40 | 6 | 46 |
2015 November | 41 | 11 | 52 |
2015 October | 41 | 11 | 52 |
2015 September | 33 | 14 | 47 |
2015 August | 48 | 13 | 61 |
2015 July | 66 | 11 | 77 |
2015 June | 36 | 7 | 43 |
2015 May | 93 | 14 | 107 |
2015 April | 108 | 11 | 119 |
2015 March | 111 | 8 | 119 |
2015 February | 98 | 8 | 106 |
2015 January | 120 | 15 | 135 |
2014 December | 124 | 14 | 138 |
2014 November | 135 | 16 | 151 |
2014 October | 171 | 10 | 181 |
2014 September | 139 | 20 | 159 |
2014 August | 130 | 18 | 148 |
2014 July | 155 | 20 | 175 |
2014 June | 166 | 8 | 174 |
2014 May | 168 | 8 | 176 |
2014 April | 155 | 9 | 164 |
2014 March | 122 | 17 | 139 |
2014 February | 112 | 20 | 132 |
2014 January | 128 | 24 | 152 |
2013 December | 148 | 16 | 164 |
2013 November | 146 | 32 | 178 |
2013 October | 156 | 15 | 171 |
2013 September | 110 | 18 | 128 |
2013 August | 142 | 28 | 170 |
2013 July | 133 | 35 | 168 |
2013 June | 478 | 15 | 493 |
2013 May | 605 | 16 | 621 |
2013 April | 118 | 31 | 149 |
2013 March | 102 | 19 | 121 |
2013 February | 63 | 18 | 81 |
2013 January | 115 | 24 | 139 |
2012 December | 82 | 12 | 94 |
2012 November | 67 | 22 | 89 |
2012 October | 25 | 18 | 43 |
2012 September | 11 | 7 | 18 |
2012 January | 293 | 0 | 293 |