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X Demographics
Mendeley readers
Chapter title |
MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching
|
---|---|
Chapter number | 29 |
Book title |
Advances in Information Retrieval
|
Published by |
Springer, Cham, April 2020
|
DOI | 10.1007/978-3-030-45442-5_29 |
Book ISBNs |
978-3-03-045441-8, 978-3-03-045442-5
|
Authors |
Daniel Loureiro, Alípio Mário Jorge, Loureiro, Daniel, Jorge, Alípio Mário |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 21% |
Researcher | 5 | 15% |
Student > Ph. D. Student | 4 | 12% |
Student > Postgraduate | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 9% |
Unknown | 10 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 55% |
Environmental Science | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 30% |