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Twitter Demographics
Mendeley readers
Title |
Bioinformatics Algorithms and Predictive Models: The Grand Challenge in Computational Virology
|
---|---|
Published in |
Frontiers in Virology, April 2021
|
DOI | 10.3389/fviro.2021.684608 |
Authors |
Manuela Sironi, Lars Kaderali |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 23% |
Student > Postgraduate | 3 | 23% |
Unspecified | 2 | 15% |
Professor | 1 | 8% |
Researcher | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 23% |
Unspecified | 2 | 15% |
Agricultural and Biological Sciences | 2 | 15% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 23% |