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Timeline
X Demographics
Mendeley readers
Title |
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2021
|
DOI | 10.3389/frai.2021.627369 |
Pubmed ID | |
Authors |
Wei Luo |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 13% |
Switzerland | 1 | 13% |
Unknown | 6 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 16% |
Student > Master | 6 | 14% |
Student > Bachelor | 3 | 7% |
Professor | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 5% |
Unknown | 24 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 11% |
Medicine and Dentistry | 5 | 11% |
Unspecified | 4 | 9% |
Biochemistry, Genetics and Molecular Biology | 3 | 7% |
Nursing and Health Professions | 2 | 5% |
Other | 1 | 2% |
Unknown | 24 | 55% |