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X Demographics
Mendeley readers
Title |
Leveraging electronic medical record-embedded standardised electroencephalogram reporting to develop neonatal seizure prediction models: a retrospective cohort study
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Published in |
The Lancet Digital Health, April 2023
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DOI | 10.1016/s2589-7500(23)00004-3 |
Pubmed ID | |
Authors |
Jillian L McKee, Michael C Kaufman, Alexander K Gonzalez, Mark P Fitzgerald, Shavonne L Massey, France Fung, Sudha K Kessler, Stephanie Witzman, Nicholas S Abend, Ingo Helbig |
X Demographics
The data shown below were collected from the profiles of 22 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 | 8 | 36% |
United Kingdom | 2 | 9% |
South Africa | 1 | 5% |
Australia | 1 | 5% |
Unknown | 10 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 45% |
Scientists | 6 | 27% |
Practitioners (doctors, other healthcare professionals) | 3 | 14% |
Science communicators (journalists, bloggers, editors) | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 23% |
Researcher | 4 | 13% |
Professor > Associate Professor | 2 | 7% |
Student > Bachelor | 1 | 3% |
Unspecified | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 7 | 23% |
Medicine and Dentistry | 3 | 10% |
Unspecified | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Computer Science | 1 | 3% |
Other | 2 | 7% |
Unknown | 15 | 50% |