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X Demographics
Mendeley readers
| Title |
A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
|
|---|---|
| Published in |
bioRxiv, March 2018
|
| DOI | 10.1101/276907 |
| Authors |
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys |
X Demographics
The data shown below were collected from the profiles of 148 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 | 30 | 20% |
| United Kingdom | 13 | 9% |
| Switzerland | 11 | 7% |
| Canada | 8 | 5% |
| Germany | 7 | 5% |
| France | 6 | 4% |
| Spain | 6 | 4% |
| Belgium | 4 | 3% |
| Australia | 4 | 3% |
| Other | 23 | 16% |
| Unknown | 36 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 97 | 66% |
| Members of the public | 48 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 393 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 393 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 118 | 30% |
| Researcher | 72 | 18% |
| Student > Master | 47 | 12% |
| Student > Bachelor | 33 | 8% |
| Student > Postgraduate | 21 | 5% |
| Other | 48 | 12% |
| Unknown | 54 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 99 | 25% |
| Agricultural and Biological Sciences | 95 | 24% |
| Computer Science | 38 | 10% |
| Immunology and Microbiology | 20 | 5% |
| Engineering | 20 | 5% |
| Other | 60 | 15% |
| Unknown | 61 | 16% |