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X Demographics
Mendeley readers
Chapter title |
Women Also Snowboard: Overcoming Bias in Captioning Models
|
---|---|
Chapter number | 47 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01219-9_47 |
Book ISBNs |
978-3-03-001218-2, 978-3-03-001219-9
|
Authors |
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach, Hendricks, Lisa Anne, Burns, Kaylee, Saenko, Kate, Darrell, Trevor, Rohrbach, Anna |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 297 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 63 | 21% |
Student > Master | 55 | 19% |
Student > Bachelor | 27 | 9% |
Researcher | 22 | 7% |
Student > Doctoral Student | 14 | 5% |
Other | 24 | 8% |
Unknown | 92 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 152 | 51% |
Engineering | 20 | 7% |
Social Sciences | 8 | 3% |
Business, Management and Accounting | 5 | 2% |
Economics, Econometrics and Finance | 4 | 1% |
Other | 8 | 3% |
Unknown | 100 | 34% |