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X Demographics
Mendeley readers
| Title |
Inferring cancer dependencies on metabolic genes from large-scale genetic screens
|
|---|---|
| Published in |
BMC Biology, April 2019
|
| DOI | 10.1186/s12915-019-0654-4 |
| Pubmed ID | |
| Authors |
Shoval Lagziel, Won Dong Lee, Tomer Shlomi |
X Demographics
The data shown below were collected from the profiles of 32 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 Kingdom | 5 | 16% |
| United States | 5 | 16% |
| Spain | 2 | 6% |
| Brazil | 2 | 6% |
| Germany | 2 | 6% |
| Belgium | 1 | 3% |
| Hong Kong | 1 | 3% |
| Portugal | 1 | 3% |
| Thailand | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 8 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 47% |
| Scientists | 13 | 41% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 19 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 27% |
| Agricultural and Biological Sciences | 9 | 16% |
| Medicine and Dentistry | 4 | 7% |
| Computer Science | 4 | 7% |
| Immunology and Microbiology | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 19 | 34% |