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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and Validation of a Prediction Model for Atrial Fibrillation Using Electronic Health Records
|
|---|---|
| Published in |
JACC: Clinical Electrophysiology, October 2019
|
| DOI | 10.1016/j.jacep.2019.07.016 |
| Pubmed ID | |
| Authors |
Olivia L Hulme, Shaan Khurshid, Lu-Chen Weng, Christopher D Anderson, Elizabeth Y Wang, Jeffrey M Ashburner, Darae Ko, David D McManus, Emelia J Benjamin, Patrick T Ellinor, Ludovic Trinquart, Steven A Lubitz |
X Demographics
The data shown below were collected from the profiles of 25 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 | 10 | 40% |
| Australia | 3 | 12% |
| Argentina | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 48% |
| Scientists | 9 | 36% |
| Practitioners (doctors, other healthcare professionals) | 3 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 11 | 11% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 8 | 8% |
| Student > Postgraduate | 8 | 8% |
| Other | 17 | 17% |
| Unknown | 34 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 31% |
| Nursing and Health Professions | 8 | 8% |
| Computer Science | 5 | 5% |
| Business, Management and Accounting | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 14 | 14% |
| Unknown | 35 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 April 2024.
All research outputs
#2,132,328
of 25,784,004 outputs
Outputs from JACC: Clinical Electrophysiology
#500
of 1,582 outputs
Outputs of similar age
#43,978
of 364,393 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#20
of 54 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.