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Mendeley readers
Chapter title |
Will My Question Be Answered? Predicting “Question Answerability” in Community Question-Answering Sites
|
---|---|
Chapter number | 32 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-40994-3_32 |
Book ISBNs |
978-3-64-240993-6, 978-3-64-240994-3
|
Authors |
Gideon Dror, Yoelle Maarek, Idan Szpektor |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 3% |
France | 1 | 3% |
Egypt | 1 | 3% |
Unknown | 26 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 34% |
Student > Master | 4 | 14% |
Student > Doctoral Student | 2 | 7% |
Other | 2 | 7% |
Researcher | 2 | 7% |
Other | 4 | 14% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 69% |
Unspecified | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Unknown | 6 | 21% |