You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
End-to-End Joint Entity Extraction and Negation Detection for Clinical Text
|
---|---|
Chapter number | 13 |
Book title |
Precision Health and Medicine
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-24409-5_13 |
Book ISBNs |
978-3-03-024408-8, 978-3-03-024409-5
|
Authors |
Parminder Bhatia, E. Busra Celikkaya, Mohammed Khalilia, Bhatia, Parminder, Busra Celikkaya, E., Khalilia, Mohammed |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 20% |
Researcher | 5 | 20% |
Student > Bachelor | 1 | 4% |
Unspecified | 1 | 4% |
Lecturer | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 36% |
Unspecified | 1 | 4% |
Psychology | 1 | 4% |
Decision Sciences | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 44% |