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X Demographics
Mendeley readers
Title |
The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons
|
---|---|
Published in |
Frontiers in Big Data, June 2020
|
DOI | 10.3389/fdata.2020.00022 |
Pubmed ID | |
Authors |
Scott Christley, Ademar Aguiar, George Blanck, Felix Breden, Syed Ahmad Chan Bukhari, Christian E. Busse, Jerome Jaglale, Srilakshmy L. Harikrishnan, Uri Laserson, Bjoern Peters, Artur Rocha, Chaim A. Schramm, Sarah Taylor, Jason Anthony Vander Heiden, Bojan Zimonja, Corey T. Watson, Brian Corrie, Lindsay G. Cowell |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
Germany | 1 | 10% |
Norway | 1 | 10% |
Switzerland | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 24% |
Student > Master | 5 | 17% |
Student > Doctoral Student | 4 | 14% |
Student > Bachelor | 3 | 10% |
Lecturer | 1 | 3% |
Other | 1 | 3% |
Unknown | 8 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 5 | 17% |
Medicine and Dentistry | 4 | 14% |
Biochemistry, Genetics and Molecular Biology | 3 | 10% |
Computer Science | 3 | 10% |
Agricultural and Biological Sciences | 2 | 7% |
Other | 4 | 14% |
Unknown | 8 | 28% |