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X Demographics
Mendeley readers
Title |
Predicting Admissions From a Paediatric Emergency Department – Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model
|
---|---|
Published in |
Frontiers in Big Data, April 2021
|
DOI | 10.3389/fdata.2021.643558 |
Pubmed ID | |
Authors |
Fiona Leonard, John Gilligan, Michael J. Barrett |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 8 | 53% |
United States | 1 | 7% |
Switzerland | 1 | 7% |
Unknown | 5 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 67% |
Practitioners (doctors, other healthcare professionals) | 3 | 20% |
Scientists | 1 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
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 % |
---|---|---|
Student > Master | 5 | 17% |
Other | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Professor | 1 | 3% |
Student > Doctoral Student | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 3 | 10% |
Engineering | 3 | 10% |
Medicine and Dentistry | 3 | 10% |
Arts and Humanities | 1 | 3% |
Psychology | 1 | 3% |
Other | 3 | 10% |
Unknown | 15 | 52% |