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	<title>Comments on: Proof that this blog has the Best Readers Ever</title>
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	<link>http://davidrothman.net/2008/09/03/proof-that-this-blog-has-the-best-readers-ever/</link>
	<description>Health Information &#124; Geekery</description>
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		<title>By: Mike G </title>
		<link>http://davidrothman.net/2008/09/03/proof-that-this-blog-has-the-best-readers-ever/comment-page-1/#comment-200930</link>
		<dc:creator>Mike G </dc:creator>
		<pubDate>Wed, 11 Mar 2009 08:52:17 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/?p=2046#comment-200930</guid>
		<description>Our tool at IBMI already does this. Put in any term and get the complete list of MeSH terms, broken down into their sub -categories. Also does lots of other nice summary tricks. 
 
See:   &lt;a href=&quot;http://www.medsum.info&quot; target=&quot;_blank&quot;&gt;www.medsum.info&lt;/a&gt; </description>
		<content:encoded><![CDATA[<p>Our tool at IBMI already does this. Put in any term and get the complete list of MeSH terms, broken down into their sub -categories. Also does lots of other nice summary tricks. </p>
<p>See:   <a href="http://www.medsum.info" target="_blank">http://www.medsum.info</a></p>
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		<title>By: Finding assigned MeSH terms and more: PubReMiner &#171; Laika&#8217;s MedLibLog</title>
		<link>http://davidrothman.net/2008/09/03/proof-that-this-blog-has-the-best-readers-ever/comment-page-1/#comment-145687</link>
		<dc:creator>Finding assigned MeSH terms and more: PubReMiner &#171; Laika&#8217;s MedLibLog</dc:creator>
		<pubDate>Wed, 24 Sep 2008 02:26:23 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/?p=2046#comment-145687</guid>
		<description>[...] The suggestions made by several people were summarized by David in another post (see here). The foll... [...]</description>
		<content:encoded><![CDATA[<p>[...] The suggestions made by several people were summarized by David in another post (see here). The foll&#8230; [...]</p>
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		<title>By: Laika</title>
		<link>http://davidrothman.net/2008/09/03/proof-that-this-blog-has-the-best-readers-ever/comment-page-1/#comment-145512</link>
		<dc:creator>Laika</dc:creator>
		<pubDate>Tue, 23 Sep 2008 12:39:20 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/?p=2046#comment-145512</guid>
		<description>Thanks Rachel for bringing this up and David for taking this further. 

I responded to Rachel&#039;s original request at Twitter by saying that I used to look for the most frequent Subject Headings by one command in the (expensive) STN-database. I had no idea that this could be done for free with a 3rd party MEDLINE/PubMed tool. And now there are several possibilities! Very useful when one wants to get a hint of which MeSH are most appropriate.

Coincidentally I found another 3rd party tool which does the job, and in my opinion, even better: PubMed PubReminer

http://bioinfo.amc.uva.nl/human-genetics/pubreminer/.
(It is produced by someone at our institute and I was asked to have a look at it).

It&#039;s lay-out isn&#039;t very user-friendly, but if I type the 3 PMID&#039;s you gave, it shows several lists with the most frequently occurring words on top.
These are the lists (columns): Year, Author, Journal, (Text)Word, MeSH, Substance, Country.

What I like most is that it also includes Mesh and their subheadings. To find the combination can be very important for your search (and it is this possibility I missed most in the other tools.)
For instance, your 3 PubMed ID&#039;s yield: Urinary Catheterization/instrumentation twice and Urinary Tract Infections/etiology once.

Especially important for words having no single MeSH, e.g.
EGFR-inhibitors --&gt; (MeSH) Receptor, Epidermal Growth Factor/antagonists &amp; inhibitors

It &#039;s also great to see the most frequent textwords and substance names as well.

I will try to give some examples at my own blog later.</description>
		<content:encoded><![CDATA[<p>Thanks Rachel for bringing this up and David for taking this further. </p>
<p>I responded to Rachel&#8217;s original request at Twitter by saying that I used to look for the most frequent Subject Headings by one command in the (expensive) STN-database. I had no idea that this could be done for free with a 3rd party MEDLINE/PubMed tool. And now there are several possibilities! Very useful when one wants to get a hint of which MeSH are most appropriate.</p>
<p>Coincidentally I found another 3rd party tool which does the job, and in my opinion, even better: PubMed PubReminer</p>
<p><a href="http://bioinfo.amc.uva.nl/human-genetics/pubreminer/" rel="nofollow">http://bioinfo.amc.uva.nl/human-genetics/pubreminer/</a>.<br />
(It is produced by someone at our institute and I was asked to have a look at it).</p>
<p>It&#8217;s lay-out isn&#8217;t very user-friendly, but if I type the 3 PMID&#8217;s you gave, it shows several lists with the most frequently occurring words on top.<br />
These are the lists (columns): Year, Author, Journal, (Text)Word, MeSH, Substance, Country.</p>
<p>What I like most is that it also includes Mesh and their subheadings. To find the combination can be very important for your search (and it is this possibility I missed most in the other tools.)<br />
For instance, your 3 PubMed ID&#8217;s yield: Urinary Catheterization/instrumentation twice and Urinary Tract Infections/etiology once.</p>
<p>Especially important for words having no single MeSH, e.g.<br />
EGFR-inhibitors &#8211;&gt; (MeSH) Receptor, Epidermal Growth Factor/antagonists &amp; inhibitors</p>
<p>It &#8217;s also great to see the most frequent textwords and substance names as well.</p>
<p>I will try to give some examples at my own blog later.</p>
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		<title>By: Rachel</title>
		<link>http://davidrothman.net/2008/09/03/proof-that-this-blog-has-the-best-readers-ever/comment-page-1/#comment-138370</link>
		<dc:creator>Rachel</dc:creator>
		<pubDate>Wed, 03 Sep 2008 13:10:40 +0000</pubDate>
		<guid isPermaLink="false">http://davidrothman.net/?p=2046#comment-138370</guid>
		<description>All of those folks do indeed rule. :) I really appreciate everyone who tackled this.</description>
		<content:encoded><![CDATA[<p>All of those folks do indeed rule. <img src='http://davidrothman.net/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' />  I really appreciate everyone who tackled this.</p>
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