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Twitter Demographics
Mendeley readers
Chapter title |
A Cognitive Model of Human Bias in Matching
|
---|---|
Chapter number | 50 |
Book title |
PRICAI 2019: Trends in Artificial Intelligence
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-29908-8_50 |
Book ISBNs |
978-3-03-029907-1, 978-3-03-029908-8
|
Authors |
Rakefet Ackerman, Avigdor Gal, Tomer Sagi, Roee Shraga |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 29% |
Researcher | 1 | 14% |
Other | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Psychology | 1 | 14% |
Social Sciences | 1 | 14% |
Unknown | 3 | 43% |