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Clinical Text Mining

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

twitter
16 tweeters

Readers on

mendeley
69 Mendeley
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Title
Clinical Text Mining
Published by
Springer International Publishing, May 2018
DOI 10.1007/978-3-319-78503-5
ISBNs
978-3-31-978502-8, 978-3-31-978503-5
Authors

Hercules Dalianis, Dalianis, Hercules

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 25%
Student > Ph. D. Student 12 17%
Researcher 11 16%
Student > Bachelor 8 12%
Student > Doctoral Student 6 9%
Other 8 12%
Unknown 7 10%
Readers by discipline Count As %
Computer Science 30 43%
Medicine and Dentistry 6 9%
Engineering 5 7%
Economics, Econometrics and Finance 3 4%
Nursing and Health Professions 3 4%
Other 12 17%
Unknown 10 14%