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Mendeley readers
Chapter title |
Using Topic Models to Interpret MEDLINE’s Medical Subject Headings
|
---|---|
Chapter number | 28 |
Book title |
AI 2009: Advances in Artificial Intelligence
|
Published in |
Lecture notes in computer science, January 2009
|
DOI | 10.1007/978-3-642-10439-8_28 |
Book ISBNs |
978-3-64-210438-1, 978-3-64-210439-8
|
Authors |
Newman, David, Karimi, Sarvnaz, Cavedon, Lawrence, David Newman, Sarvnaz Karimi, Lawrence Cavedon |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 3% |
United Kingdom | 1 | 3% |
Belgium | 1 | 3% |
Greece | 1 | 3% |
United States | 1 | 3% |
Unknown | 26 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 32% |
Researcher | 7 | 23% |
Other | 4 | 13% |
Student > Bachelor | 2 | 6% |
Professor | 2 | 6% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 39% |
Engineering | 5 | 16% |
Medicine and Dentistry | 4 | 13% |
Linguistics | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 2 | 6% |
Unknown | 4 | 13% |