| Title |
The COVID-19 Pandemic and Acute Aortic Dissections in New York A Matter of Public Health
|
|---|---|
| Published in |
JACC, May 2020
|
| DOI | 10.1016/j.jacc.2020.05.022 |
| Pubmed ID | |
| Authors |
Ismail El-Hamamsy, Derek R. Brinster, Joseph J. DeRose, Leonard N. Girardi, Kazuhiro Hisamoto, Mohammed N. Imam, Shinobu Itagaki, Paul A. Kurlansky, Christopher Lau, Samantha Nemeth, Mathew Williams, Benjamin A. Youdelman, Hiroo Takayama |
X Demographics
The data shown below were collected from the profiles of 133 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 | 52 | 39% |
| Canada | 17 | 13% |
| United Kingdom | 4 | 3% |
| Spain | 4 | 3% |
| Argentina | 3 | 2% |
| Ireland | 3 | 2% |
| Colombia | 2 | 2% |
| Australia | 2 | 2% |
| Italy | 2 | 2% |
| Other | 7 | 5% |
| Unknown | 37 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 78 | 59% |
| Practitioners (doctors, other healthcare professionals) | 28 | 21% |
| Scientists | 18 | 14% |
| Science communicators (journalists, bloggers, editors) | 9 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Other | 9 | 11% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 8 | 10% |
| Professor | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 36% |
| Nursing and Health Professions | 5 | 6% |
| Psychology | 3 | 4% |
| Engineering | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 11 | 14% |
| Unknown | 27 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 229. 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 11 August 2021.
All research outputs
#168,059
of 25,604,262 outputs
Outputs from JACC
#368
of 16,776 outputs
Outputs of similar age
#6,006
of 422,479 outputs
Outputs of similar age from JACC
#10
of 241 outputs
Altmetric has tracked 25,604,262 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 16,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.2. This one has done particularly well, scoring higher than 97% 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 422,479 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 98% of its contemporaries.
We're also able to compare this research output to 241 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 95% of its contemporaries.