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X Demographics
Mendeley readers
Title |
DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
|
---|---|
Published in |
Frontiers in Artificial Intelligence, November 2021
|
DOI | 10.3389/frai.2021.757780 |
Pubmed ID | |
Authors |
Ting Li, Weida Tong, Ruth Roberts, Zhichao Liu, Shraddha Thakkar |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 14% |
Kenya | 1 | 14% |
Switzerland | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 12% |
Researcher | 2 | 8% |
Unspecified | 1 | 4% |
Professor | 1 | 4% |
Other | 1 | 4% |
Other | 2 | 8% |
Unknown | 16 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 12% |
Unspecified | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Neuroscience | 1 | 4% |
Other | 2 | 8% |
Unknown | 17 | 65% |