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X Demographics
Mendeley readers
| Title |
Analysis of KIR gene variants in The Cancer Genome Atlas and UK Biobank using KIRCLE
|
|---|---|
| Published in |
BMC Biology, August 2022
|
| DOI | 10.1186/s12915-022-01392-2 |
| Pubmed ID | |
| Authors |
Galen F. Gao, Dajiang Liu, Xiaowei Zhan, Bo Li |
X Demographics
The data shown below were collected from the profiles of 9 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 | 44% |
| Hong Kong | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
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 | 2 | 22% |
| Other | 2 | 22% |
| Researcher | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 22% |
| Medicine and Dentistry | 2 | 22% |
| Computer Science | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 3 | 33% |