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		<title>The History Behind The Volasertib Victory - Historique des versions</title>
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		<id>http://www.feuxdelamour.com/v4/index.php?title=The_History_Behind_The_Volasertib_Victory&amp;diff=57633&amp;oldid=prev</id>
		<title>Cloth59butter : Page créée avec « Table S1 lists each of the 18 papers published by at least two SIMPAR members in collaboration between 2010 and 2015. As described herein, we have been able to obtain stat... »</title>
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				<updated>2017-01-13T15:56:33Z</updated>
		
		<summary type="html">&lt;p&gt;Page créée avec « Table S1 lists each of the 18 papers published by at least two SIMPAR members in collaboration between 2010 and 2015. As described herein, we have been able to obtain stat... »&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Nouvelle page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Table S1 lists each of the 18 papers published by at least two SIMPAR members in collaboration between 2010 and 2015. As described herein, we have been able to obtain statistically significant results regarding the force of the group as a whole in both the research and public communities. Materials and methods For each of the 12 researchers of which our team is comprised, we created an ORCID (Open [http://www.selleckchem.com/products/BI6727-Volasertib.html selleck screening library] Researcher and Contributor ID) account (www.orcid.org), in addition to an Impact Story (https://impactstory.org) account that imported our data and synchronized it with the unique ORCID identifiers. Collected items were assigned to specific categories, such as ��cited�� (or highly cited), ��saved�� (or highly saved), or ��discussed��. In doing so, our Impact Story provided us with data regarding the number of times an article was saved by scholars, cited by other researchers, publicly discussed (Facebook, etc), and cited by the general public (blog posts, Wikipedia). These metrics were classified along two dimensions: audience (scholars [http://en.wikipedia.org/wiki/SERCA SERCA] or the public) and type of engagement with the online research products (viewed, discussed, saved, cited).7 From Impact Story, we were able to retrieve all altmetrics data for the 12 researcher accounts (paper citations, discussions, views by the research community or public). Statistical analysis Through the personal profiles of altmetrics, for each member of the SIMPAR group, we were able to count the number of citations, times a paper was saved, and discussions from the public community for each paper published. Then, we compared the SIMPAR group [http://www.selleckchem.com/products/NVP-AUY922.html Luminespib cell line] percentages of articles cited (or highly cited), saved (or highly saved), or discussed relative to those published by single authors (either written alone or in collaboration with coauthors who were not members of the SIMPAR group) by means of Fisher��s exact test. Quantitative variables are described as median and interquartile range (IQR), ie, the 25th and 75th percentiles and compared to collective SIMPAR data or individual publication articles by means of a nonparametric Mann�CWhitney test. The association between citations from Scopus and the altmetric score or its components (eg, Facebook posts, tweets, Mendeley readers) was expressed through a nonparametric Spearman��s ��-correlation coefficient. A P-value&lt;/div&gt;</summary>
		<author><name>Cloth59butter</name></author>	</entry>

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