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10.1186/s12874-015-0077-z http://scihub22266oqcxt.onion/10.1186/s12874-015-0077-z C4604708!4604708!26462491     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Med+Res+Methodol 2015 ; 15 (ä): ä Nephropedia Template TP {{tp|p=26462491|t=2015. Novel citation-based search method for scientific literature: application to meta-analyses |pdf=|usr=}}{{26462491}} gab.com Text Novel citation-based search method for scientific literature: application to meta-analyses JO: BMC Med Res Methodol http://www.kidney.de/pget.php?&tw=1&pmid=26462491 #FOAvip Background: Finding eligible studies for meta-analysis and systematic reviews relies on keyword-based searching as the gold standard, despite its inefficiency. Searching based on direct citations is not sufficiently comprehensive. We propose a novel strategy that ranks articles on their degree of co-citation with one or more ?known? articles before reviewing their eligibility. Method: In two independent studies, we aimed to reproduce the results of literature searches for sets of published meta-analyses (n?=?10 and n?=?42). For each meta-analysis, we extracted co-citations for the randomly selected ?known? articles from the Web of Science database, counted their frequencies and screened all articles with a score above a selection threshold. In the second study, we extended the method by retrieving direct citations for all selected articles. Results: In the first study, we retrieved 82 % of the studies included in the meta-analyses while screening only 11 % as many articles as were screened for the original publications. Articles that we missed were published in non-English languages, published before 1975, published very recently, or available only as conference abstracts. In the second study, we retrieved 79 % of included studies while screening half the original number of articles. Conclusions: Citation searching appears to be an efficient and reasonably accurate method for finding articles similar to one or more articles of interest for meta-analysis and reviews. Electronic supplementary material: The online version of this article (doi:10.1186/s12874-015-0077-z) contains supplementary material, which is available to authorized users. Twit Text FOAVip Novel citation-based search method for scientific literature: application to meta-analyses ????BMC Med Res Methodol http://www.kidney.de/pget.php?&tw=1&pmid=26462491 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26462491 #FOAvip English Wikipedia <ref>{{Cite pmid|26462491}}</ref> Novel citation-based search method for scientific literature: application to meta-analyses #MMPMID26462491 Janssens ACJW; Gwinn M BMC Med Res Methodol 2015[]; 15 (ä): ä PMID26462491show ga Background: Finding eligible studies for meta-analysis and systematic reviews relies on keyword-based searching as the gold standard, despite its inefficiency. Searching based on direct citations is not sufficiently comprehensive. We propose a novel strategy that ranks articles on their degree of co-citation with one or more ?known? articles before reviewing their eligibility. Method: In two independent studies, we aimed to reproduce the results of literature searches for sets of published meta-analyses (n?=?10 and n?=?42). For each meta-analysis, we extracted co-citations for the randomly selected ?known? articles from the Web of Science database, counted their frequencies and screened all articles with a score above a selection threshold. In the second study, we extended the method by retrieving direct citations for all selected articles. Results: In the first study, we retrieved 82 % of the studies included in the meta-analyses while screening only 11 % as many articles as were screened for the original publications. Articles that we missed were published in non-English languages, published before 1975, published very recently, or available only as conference abstracts. In the second study, we retrieved 79 % of included studies while screening half the original number of articles. Conclusions: Citation searching appears to be an efficient and reasonably accurate method for finding articles similar to one or more articles of interest for meta-analysis and reviews. Electronic supplementary material: The online version of this article (doi:10.1186/s12874-015-0077-z) contains supplementary material, which is available to authorized users. äNovel citation-based search method for scientific literature: applicat(epmc).pdf DeepDyve Pubget Overpricing