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Twitter 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
|
| 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, A. Mark Richards, Chris Pemberton, Richard W. Troughton, Sally J. Aldous, Anthony F. T. Brown, Emily Dalton, Chris Hammett, Tracey Hawkins, Shanen O’Kane, Kate Parke, Kimberley Ryan, Jessica Schluter, Karin Wild, Desiree Wussler, Òscar Miró, F. Javier Martin-Sanchez, Dagmar I. Keller, Michael Christ, Andreas Buser, Maria Rubini Giménez, Stephanie Barker, Jennifer Blades, Andrew R. Chapman, Takeshi Fujisawa, Dorien M. Kimenai, Jeremy Leung, Ziwen Li, Michael McDermott, David E. Newby, Stacey D. Schulberg, Anoop S. V. Shah, Andrew Sorbie, Grace Soutar, Fiona E. Strachan, Caelan Taggart, Daniel Perez Vicencio, Yiqing Wang, Ryan Wereski, Kelly Williams, Christopher J. Weir, Colin Berry, Alan Reid, Donogh Maguire, Paul O. Collinson, Yader Sandoval, Stephen W. Smith |
Twitter Demographics
The data shown below were collected from the profiles of 163 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 35 | 21% |
| United States | 27 | 17% |
| Canada | 4 | 2% |
| Venezuela, Bolivarian Republic of | 3 | 2% |
| France | 3 | 2% |
| Switzerland | 3 | 2% |
| Netherlands | 2 | 1% |
| Germany | 2 | 1% |
| Spain | 2 | 1% |
| Other | 13 | 8% |
| Unknown | 69 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 92 | 56% |
| Scientists | 44 | 27% |
| Practitioners (doctors, other healthcare professionals) | 21 | 13% |
| Science communicators (journalists, bloggers, editors) | 6 | 4% |
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 % |
|---|---|---|
| Unspecified | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 7 | 24% |
| Unknown | 7 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 24% |
| Unspecified | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Social Sciences | 2 | 7% |
| Mathematics | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 7 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1946. 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
#4,595
of 24,489,051 outputs
Outputs from Nature Medicine
#77
of 8,990 outputs
Outputs of similar age
#120
of 381,178 outputs
Outputs of similar age from Nature Medicine
#3
of 155 outputs
Altmetric has tracked 24,489,051 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 8,990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 104.0. 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 381,178 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.