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Mendeley readers
Chapter title |
Knowledge Management, Data Mining, and Text Mining in Medical Informatics
|
---|---|
Chapter number | 1 |
Book title |
Medical Informatics
|
Published by |
Springer, Boston, MA, January 2005
|
DOI | 10.1007/0-387-25739-x_1 |
Book ISBNs |
978-0-387-24381-8, 978-0-387-25739-6
|
Authors |
Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
Norway | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
France | 1 | <1% |
Denmark | 1 | <1% |
Canada | 1 | <1% |
China | 1 | <1% |
Iraq | 1 | <1% |
Other | 0 | 0% |
Unknown | 114 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 21% |
Student > Master | 26 | 21% |
Researcher | 11 | 9% |
Professor > Associate Professor | 10 | 8% |
Student > Bachelor | 9 | 7% |
Other | 32 | 25% |
Unknown | 11 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 54 | 43% |
Medicine and Dentistry | 14 | 11% |
Business, Management and Accounting | 8 | 6% |
Engineering | 7 | 6% |
Social Sciences | 5 | 4% |
Other | 20 | 16% |
Unknown | 18 | 14% |