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<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="custom.css" rel="stylesheet" type="text/css">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
<title>About PubMed by Year</title>
</head>
<body>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.2.2/jquery.min.js"></script>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3.0.1/es5/tex-mml-chtml.js"></script>
<div class="container">
<div id="topbanner" class="jumbotron">
<h1>About PubMed by Year</h1>
<a id="about" class="label label-default" href="index.html">Home</a>
</div>
<div class="row">
<div class="col-sm-7 col-md-7 col-lg-7 aboutleft">
<div class="panel panel-default">
<div class="panel-body">
<h2>Why PubMed by Year?</h2>
<p>The biomedical literature is a not only a tool for finding the newest answers, but is also a record of what researchers and clinicians
have concerned themselves with over the decades. <a href="https://pubmed.ncbi.nlm.nih.gov/">PubMed</a> now generates a graph showing reults by year for a search, but this may not
show actual trends given that the <a href="https://www.nlm.nih.gov/bsd/medline_cit_counts_yr_pub.html">astonishing increase</a> of the biomedical literature over time makes a simple count less illustrative of changes
for any given search.</p>
<p>For exmaple, here are graphs of raw counts for the searches 'Diabetes mellitus, type 2', 'Malaria' and '“Heart diseases[mesh]”':
<img src="yearcount_examples.png" alt="individual searches" style="margin: 1em">
<p>All three show a steep increase, but it is hard to discern what this means given the background increase in items. However, if we <em>compare</em> those yearly totals to those for PubMed as a whole and lay them out on the
same graph, a clearer picture of publication trends emerges:</p>
<img src="combined_examples.png" alt="searches by proportion" style="margin: 1em">
<h2>How it works</h2>
<p>PubMed</a> does a thorough job of covering the vast biomedical literature, as it contains citations from around
<a href="https://www.nlm.nih.gov/bsd/serfile_addedinfo.html">26,000 journals</a> published around the world. Within PubMed, the MEDLINE database provides thorough coverage of this literature <a href="https://www.nlm.nih.gov/bsd/medline.html">from 1966 onwards</a>
and OLDMEDLINE take us <a href="https://www.nlm.nih.gov/databases/databases_oldmedline.html">back to 1946</a> for some parts of the literature. There are also a relative smattering of
<a href="https://www.ncbi.nlm.nih.gov/pmc/">PubMed Central</a> citations between the nineteenth century and the present.</p>
<p>Yearly counts for each search are taken from PubMed and compared to year-by-year totals. Hits per 100,000 by year are calculated by the following formula:</p>
<p>
\[ {\text{Number of search results that year} \over \text{Total number of PubMed results that year} } \times 100000.\]
</p>
<h2>Caveats</h2>
<p>When you enter a search into the search bar, you are searching PubMed directly, meaning that your search is parsed by NCBI's <a href="https://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.How_PubMed_works_automatic_te">automatic term mapping</a>
algorithm. If something doesn't make sense, you can try your search in a new PubMed window (or click any year on the graph) and examine the "Details" from the Advanced Search Builder page.</p>
<p>Use caution when interpreting the results of a <a href="https://www.nlm.nih.gov/mesh/meshhome.html">
Medical Subject Heading</a> search, as older records are not typically re-indexed after a new heading is added to the thesaurus.</p>
</div>
</div>
</div>
<div class="col-sm-5 col-md-5 col-lg-5">
<div class="panel panel-default">
<div class="panel-body">
<h3>Contact</h3>
<p>PubMed by Year is a project by Ed Sperr, M.L.I.S.</p>
<p>Ed can be reached at <a href="mailto:ed_sperr@hotmail.com">ed_sperr@hotmail.com</a> or <a href="mailto:esperr@uga.edu">esperr@uga.edu</a>.</p>
</div>
</div>
<div class="panel panel-default">
<div class="panel-body">
<h3>Technologies</h3>
<p>PubMed by Year is lashed together with bailing wire and <a href="http://jquery.com/">jQuery</a>. NCBI does not have an easy way to grab by-year counts for a search (short of launching 50+ calls to the API), so a <a href="https://github.com/esperr/med-by-year">custom webservice</a>
is used to fetch them. <a href="https://developers.google.com/chart/interactive/docs/gallery/linechart">Google Charts</a> is used to draw the charts and responsive layout is made easier with <a href="http://getbootstrap.com/">Bootstrap</a>.</p>
<p>You can find the source code for this application at <a href="https://github.com/esperr/pubmed-by-year">GitHub</a>.</p>
<h3>License</h3>
<p>Please note that the information provided here comes ultimately from the <a href="http://www.ncbi.nlm.nih.gov/">National Center for Biotechnology Information</a> and is subject to the terms listed under their
<a href="http://www.ncbi.nlm.nih.gov/About/disclaimer.html">Disclaimer and Copyright notice</a>.</p>
<p>Feel free to use this tool as you wish, but if you use PubMed by Year for publication, I'd appreciate a citation:
<blockquote>
Sperr E. PubMed by Year [Internet]. 2016 [cited <em>your_date_here</em>]. Available from http://esperr.github.io/pubmed-by-year/
</blockquote>
</p>
</div>
</div>
<div class="panel panel-default">
<div class="panel-body">
<h2>See also...</h2>
<p>Want to have even more fun with tools like this? Check out <a href="https://esperr.github.io/visualizingpubmed/">Visualizing PubMed</a>.</p>
</div>
</div>
</div>
</div>
</div>
<script>
(function() {
var currentwidth = $(".aboutleft").innerWidth() * .9;
console.log(currentwidth);
$("img").width(currentwidth);
})
();
</script>
</body>