The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Deep Learning of Histopathology Images at the Single Cell Level
|
---|---|
Published in |
Frontiers in Artificial Intelligence, September 2021
|
DOI | 10.3389/frai.2021.754641 |
Pubmed ID | |
Authors |
Kyubum Lee, John H. Lockhart, Mengyu Xie, Ritu Chaudhary, Robbert J. C. Slebos, Elsa R. Flores, Christine H. Chung, Aik Choon Tan |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
Canada | 1 | 13% |
India | 1 | 13% |
Italy | 1 | 13% |
Switzerland | 1 | 13% |
Unknown | 2 | 25% |
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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 10% |
Student > Ph. D. Student | 10 | 9% |
Student > Bachelor | 9 | 8% |
Researcher | 9 | 8% |
Professor | 7 | 6% |
Other | 17 | 15% |
Unknown | 49 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 13% |
Biochemistry, Genetics and Molecular Biology | 12 | 11% |
Engineering | 9 | 8% |
Medicine and Dentistry | 5 | 4% |
Agricultural and Biological Sciences | 4 | 4% |
Other | 11 | 10% |
Unknown | 57 | 51% |