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X Demographics
Mendeley readers
| Title |
WorMachine: machine learning-based phenotypic analysis tool for worms
|
|---|---|
| Published by |
Springer Nature, January 2018
|
| DOI | 10.1186/s12915-017-0477-0 |
| Pubmed ID | |
| Authors |
Adam Hakim, Yael Mor, Itai Antoine Toker, Amir Levine, Moran Neuhof, Yishai Markovitz, Oded Rechavi |
X Demographics
The data shown below were collected from the profiles of 45 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 | 9 | 20% |
| Israel | 3 | 7% |
| United Kingdom | 3 | 7% |
| Canada | 2 | 4% |
| Belgium | 1 | 2% |
| Austria | 1 | 2% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 24 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 56% |
| Scientists | 17 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 18% |
| Student > Bachelor | 11 | 15% |
| Researcher | 10 | 14% |
| Student > Ph. D. Student | 8 | 11% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 19 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 21% |
| Agricultural and Biological Sciences | 12 | 17% |
| Engineering | 5 | 7% |
| Medicine and Dentistry | 4 | 6% |
| Computer Science | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 21 | 29% |