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X Demographics
Mendeley readers
Title |
ContactPFP: Protein Function Prediction Using Predicted Contact Information
|
---|---|
Published in |
Frontiers in Bioinformatics, June 2022
|
DOI | 10.3389/fbinf.2022.896295 |
Pubmed ID | |
Authors |
Yuki Kagaya, Sean T. Flannery, Aashish Jain, Daisuke Kihara |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
India | 2 | 15% |
Switzerland | 1 | 8% |
Sweden | 1 | 8% |
Netherlands | 1 | 8% |
Unknown | 4 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 62% |
Members of the public | 4 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 11% |
Student > Bachelor | 1 | 11% |
Lecturer | 1 | 11% |
Student > Master | 1 | 11% |
Unknown | 5 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Computer Science | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Unknown | 5 | 56% |