Data Mining Techniques for the Life Sciences
Springer US
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X Demographics
| Title |
Data Mining Techniques for the Life Sciences
|
|---|---|
| Published by |
Springer US, January 2022
|
| DOI | 10.1007/978-1-0716-2095-3 |
| ISBNs |
978-1-07-162094-6, 978-1-07-162095-3
|
| Editors |
Oliviero Carugo, Frank Eisenhaber |
X Demographics
The data shown below were collected from the profiles of 41 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 | 7 | 17% |
| United States | 3 | 7% |
| Italy | 2 | 5% |
| Spain | 2 | 5% |
| India | 1 | 2% |
| Denmark | 1 | 2% |
| Norway | 1 | 2% |
| Canada | 1 | 2% |
| Portugal | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 63% |
| Scientists | 12 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |