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Calculating semantic relatedness for biomedical use in a knowledge-poor environment

Overview of attention for article published in BMC Bioinformatics, November 2014
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Citations

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27 Mendeley
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Title
Calculating semantic relatedness for biomedical use in a knowledge-poor environment
Published in
BMC Bioinformatics, November 2014
DOI 10.1186/1471-2105-15-s14-s2
Pubmed ID
Authors

Maciej Rybinski, José Francisco Aldana-Montes

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 4 15%
Student > Bachelor 3 11%
Student > Ph. D. Student 3 11%
Professor 1 4%
Other 1 4%
Unknown 10 37%
Readers by discipline Count As %
Computer Science 11 41%
Agricultural and Biological Sciences 3 11%
Nursing and Health Professions 1 4%
Immunology and Microbiology 1 4%
Psychology 1 4%
Other 0 0%
Unknown 10 37%