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10.1038/s41597-020-00749-y http://scihub22266oqcxt.onion/10.1038/s41597-020-00749-y 33219227!7680135!33219227     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33219227&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Sci+Data 2020 ; 7 (1): 408 Nephropedia Template TP {{tp|p=33219227|t=2020. A detailed open access model of the PubMed literature |pdf=|usr=}}{{33219227}} gab.com Text A detailed open access model of the PubMed literature JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33219227 #FOAvip Portfolio analysis is a fundamental practice of organizational leadership and is a necessary precursor of strategic planning. Successful application requires a highly detailed model of research options. We have constructed a model, the first of its kind, that accurately characterizes these options for the biomedical literature. The model comprises over 18 million PubMed documents from 1996-2019. Document relatedness was measured using a hybrid citation analysis + text similarity approach. The resulting 606.6 million document-to-document links were used to create 28,743 document clusters and an associated visual map. Clusters are characterized using metadata (e.g., phrases, MeSH) and over 20 indicators (e.g., funding, patent activity). The map and cluster-level data are embedded in Tableau to provide an interactive model enabling in-depth exploration of a research portfolio. Two example usage cases are provided, one to identify specific research opportunities related to coronavirus, and the second to identify research strengths of a large cohort of African American and Native American researchers at the University of Michigan Medical School. Twit Text FOAVip A detailed open access model of the PubMed literature ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33219227 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33219227 #FOAvip English Wikipedia <ref>{{Cite pmid|33219227}}</ref> A detailed open access model of the PubMed literature #MMPMID33219227 Boyack KW; Smith C; Klavans R Sci Data 2020[Nov]; 7 (1): 408 PMID33219227show ga Portfolio analysis is a fundamental practice of organizational leadership and is a necessary precursor of strategic planning. Successful application requires a highly detailed model of research options. We have constructed a model, the first of its kind, that accurately characterizes these options for the biomedical literature. The model comprises over 18 million PubMed documents from 1996-2019. Document relatedness was measured using a hybrid citation analysis + text similarity approach. The resulting 606.6 million document-to-document links were used to create 28,743 document clusters and an associated visual map. Clusters are characterized using metadata (e.g., phrases, MeSH) and over 20 indicators (e.g., funding, patent activity). The map and cluster-level data are embedded in Tableau to provide an interactive model enabling in-depth exploration of a research portfolio. Two example usage cases are provided, one to identify specific research opportunities related to coronavirus, and the second to identify research strengths of a large cohort of African American and Native American researchers at the University of Michigan Medical School. |*PubMed[MESH] |Access to Information[MESH] |Biomedical Research/*trends[MESH]A detailed open access model of the PubMed literature (epmc).pdf DeepDyve Pubget Overpricing