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X Demographics
Mendeley readers
Title |
AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals
|
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Published in |
Frontiers in Artificial Intelligence, April 2021
|
DOI | 10.3389/frai.2021.579541 |
Pubmed ID | |
Authors |
Vasiliki Bikia, Dionysios Adamopoulos, Stamatia Pagoulatou, Georgios Rovas, Nikolaos Stergiopulos |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Other | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Unspecified | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 3 | 27% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 27% |
Unspecified | 1 | 9% |
Mathematics | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Psychology | 1 | 9% |
Other | 2 | 18% |
Unknown | 2 | 18% |