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X Demographics
Mendeley readers
Title |
Artificial Intelligence in Health
|
---|---|
Published by |
Springer International Publishing, March 2019
|
DOI | 10.1007/978-3-030-12738-1 |
ISBNs |
978-3-03-012737-4, 978-3-03-012738-1
|
Editors |
Koch, Fernando, Koster, Andrew, Riaño, David, Montagna, Sara, Schumacher, Michael, ten Teije, Annette, Guttmann, Christian, Reichert, Manfred, Bichindaritz, Isabelle, Herrero, Pau, Lenz, Richard, López, Beatriz, Marling, Cindy, Martin, Clare, Montani, Stefania, Wiratunga, Nirmalie |
X Demographics
The data shown below were collected from the profiles of 23 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 | 4 | 17% |
Sweden | 3 | 13% |
Australia | 2 | 9% |
Mexico | 1 | 4% |
Ethiopia | 1 | 4% |
United Kingdom | 1 | 4% |
France | 1 | 4% |
Switzerland | 1 | 4% |
Singapore | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 78% |
Scientists | 4 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 38% |
Student > Master | 2 | 25% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 50% |
Decision Sciences | 1 | 13% |
Unknown | 3 | 38% |