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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations
|
---|---|
Published in |
Nature Medicine, May 2023
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DOI | 10.1038/s41591-023-02325-4 |
Pubmed ID | |
Authors |
Dimitrios Doudesis, Kuan Ken Lee, Jasper Boeddinghaus, Anda Bularga, Amy V. Ferry, Chris Tuck, Matthew T. H. Lowry, Pedro Lopez-Ayala, Thomas Nestelberger, Luca Koechlin, Miguel O. Bernabeu, Lis Neubeck, Atul Anand, Karen Schulz, Fred S. Apple, William Parsonage, Jaimi H. Greenslade, Louise Cullen, John W. Pickering, Martin P. Than, Alasdair Gray, Christian Mueller, Nicholas L. Mills |
X Demographics
The data shown below were collected from the profiles of 161 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 Kingdom | 37 | 23% |
United States | 25 | 16% |
Switzerland | 4 | 2% |
France | 3 | 2% |
Canada | 3 | 2% |
Netherlands | 2 | 1% |
New Zealand | 2 | 1% |
Venezuela, Bolivarian Republic of | 2 | 1% |
Germany | 2 | 1% |
Other | 13 | 8% |
Unknown | 68 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 89 | 55% |
Scientists | 44 | 27% |
Practitioners (doctors, other healthcare professionals) | 22 | 14% |
Science communicators (journalists, bloggers, editors) | 6 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 5 | 8% |
Student > Master | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Other | 4 | 7% |
Professor | 3 | 5% |
Other | 11 | 19% |
Unknown | 27 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 17% |
Unspecified | 5 | 8% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Engineering | 3 | 5% |
Computer Science | 2 | 3% |
Other | 8 | 14% |
Unknown | 27 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1944. 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 29 August 2023.
All research outputs
#4,938
of 25,791,495 outputs
Outputs from Nature Medicine
#82
of 9,435 outputs
Outputs of similar age
#129
of 405,098 outputs
Outputs of similar age from Nature Medicine
#2
of 155 outputs
Altmetric has tracked 25,791,495 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 103.9. This one has done particularly well, scoring higher than 99% 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 405,098 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.