| Title |
High Thrombus Burden in Patients With COVID-19 Presenting With ST-Segment Elevation Myocardial Infarction
|
|---|---|
| Published in |
JACC, July 2020
|
| DOI | 10.1016/j.jacc.2020.07.022 |
| Pubmed ID | |
| Authors |
Fizzah A Choudry, Stephen M Hamshere, Krishnaraj S Rathod, Mohammed M Akhtar, R Andrew Archbold, Oliver P Guttmann, Simon Woldman, Ajay K Jain, Charles J Knight, Andreas Baumbach, Anthony Mathur, Daniel A Jones |
X Demographics
The data shown below were collected from the profiles of 93 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 | 15 | 16% |
| Argentina | 10 | 11% |
| United Kingdom | 8 | 9% |
| Ecuador | 4 | 4% |
| Colombia | 3 | 3% |
| Dominican Republic | 3 | 3% |
| Venezuela, Bolivarian Republic of | 3 | 3% |
| Spain | 3 | 3% |
| Guatemala | 2 | 2% |
| Other | 13 | 14% |
| Unknown | 29 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 69 | 74% |
| Scientists | 13 | 14% |
| Practitioners (doctors, other healthcare professionals) | 8 | 9% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 283 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 12% |
| Student > Bachelor | 33 | 12% |
| Student > Master | 25 | 9% |
| Other | 24 | 8% |
| Student > Postgraduate | 17 | 6% |
| Other | 50 | 18% |
| Unknown | 100 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 119 | 42% |
| Nursing and Health Professions | 17 | 6% |
| Social Sciences | 6 | 2% |
| Neuroscience | 3 | 1% |
| Biochemistry, Genetics and Molecular Biology | 3 | 1% |
| Other | 23 | 8% |
| Unknown | 112 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 27 January 2024.
All research outputs
#674,050
of 25,800,372 outputs
Outputs from JACC
#1,719
of 16,948 outputs
Outputs of similar age
#20,200
of 431,199 outputs
Outputs of similar age from JACC
#53
of 251 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,948 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done well, scoring higher than 89% 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 431,199 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 95% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.