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X Demographics
Mendeley readers
| Title |
SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2022
|
| DOI | 10.3389/frai.2022.991733 |
| Pubmed ID | |
| Authors |
Chang Li, Kevin Ma, Nicole Xu, Chenjian Fu, Andrew He, Xiaoming Liu, Yongsheng Bai |
X Demographics
The data shown below were collected from the profiles of 15 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 | 2 | 13% |
| India | 2 | 13% |
| Germany | 1 | 7% |
| Russia | 1 | 7% |
| United Kingdom | 1 | 7% |
| Netherlands | 1 | 7% |
| Morocco | 1 | 7% |
| South Africa | 1 | 7% |
| Switzerland | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Researcher | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 2 | 40% |