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X Demographics
Mendeley readers
| Title |
SETH predicts nuances of residue disorder from protein embeddings
|
|---|---|
| Published in |
Frontiers in Bioinformatics, October 2022
|
| DOI | 10.3389/fbinf.2022.1019597 |
| Pubmed ID | |
| Authors |
Dagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Sweden | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 3 | 14% |
| Student > Bachelor | 1 | 5% |
| Unspecified | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Computer Science | 2 | 9% |
| Engineering | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 59% |