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Evaluation of the informatician perspective: determining types of research papers preferred by clinicians

Authors :
Boshu Ru
Xiaoyan Wang
Lixia Yao
Source :
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 5-14 (2017)
Publication Year :
2017
Publisher :
BMC, 2017.

Abstract

Abstract Background 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. Methods 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 articles with those of randomly sampled MEDLINE articles using two-sample Z-test and multiple comparison correction, in order to identify the important topics relevant to clinicians. Results We determined that the sampled clinicians followed the latest literature in a timely manner and read papers that are considered landmarks in medical research history. They preferred to read scientific discoveries from human experiments instead of molecular-, cellular- or animal-model-based experiments. Furthermore, the country of publication may impact reading preferences, particularly for clinicians from Egypt, India, Norway, Senegal, and South Africa. Conclusion These findings provide useful guidance for developing personalized literature-recommender systems for clinicians.

Details

Language :
English
ISSN :
14726947
Volume :
17
Issue :
S2
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.bfce2d3637644592b0f5b80b62cad1eb
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-017-0463-z