<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ru B</submitter><funding>NLM NIH HHS</funding><pagination>74</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5506573</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(Suppl 2)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging to locate these relevant resources out of the rapidly growing number of journals and articles currently being published. The literature-recommender system may provide a possible solution to this issue if the individual needs of clinicians can be identified and applied.&lt;h4>Methods&lt;/h4&gt;We thus collected from the CiteULike website a sample of 96 clinicians and 6,221 scientific articles that they read. We examined the journal distributions, publication types, reading times, and geographic locations. We then compared the distributions of MeSH terms associated with these </pubmed_abstract><journal>BMC medical informatics and decision making</journal><pubmed_title>Evaluation of the informatician perspective: determining types of research papers preferred by clinicians.</pubmed_title><pmcid>PMC5506573</pmcid><funding_grant_id>K01 LM012102</funding_grant_id><pubmed_authors>Yao L</pubmed_authors><pubmed_authors>Ru B</pubmed_authors><pubmed_authors>Wang X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluation of the informatician perspective: determining types of research papers preferred by clinicians.</name><description>&lt;h4>Background&lt;/h4>To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging to locate these relevant resources out of the rapidly growing number of journals and articles currently being published. The literature-recommender system may provide a possible solution to this issue if the individual needs of clinicians can be identified and applied.&lt;h4>Methods&lt;/h4&gt;We thus collected from the CiteULike website a sample of 96 clinicians and 6,221 scientific articles that they read. We examined the journal distributions, publication types, reading times, and geographic locations. We then compared the distributions of MeSH terms associated with these </description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Jul</publication><modification>2026-07-07T03:09:49.2Z</modification><creation>2026-07-07T03:08:13.894Z</creation></dates><accession>S-EPMC5506573</accession><cross_references><pubmed>28699568</pubmed><doi>10.1186/s12911-017-0463-z</doi></cross_references></HashMap>