| Title |
First-in-Man Study of a Cardiac Extracellular Matrix Hydrogel in Early and Late Myocardial Infarction Patients
|
|---|---|
| Published in |
JACC: Basic to Translational Science, September 2019
|
| DOI | 10.1016/j.jacbts.2019.07.012 |
| Pubmed ID | |
| Authors |
Jay H. Traverse, Timothy D. Henry, Nabil Dib, Amit N. Patel, Carl Pepine, Gary L. Schaer, Jessica A. DeQuach, Adam M. Kinsey, Paul Chamberlin, Karen L. Christman |
X Demographics
The data shown below were collected from the profiles of 90 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 | 13 | 14% |
| United Kingdom | 10 | 11% |
| Cyprus | 4 | 4% |
| Canada | 4 | 4% |
| Australia | 3 | 3% |
| Italy | 2 | 2% |
| Colombia | 2 | 2% |
| Argentina | 2 | 2% |
| Egypt | 2 | 2% |
| Other | 14 | 16% |
| Unknown | 34 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 58 | 64% |
| Scientists | 19 | 21% |
| Practitioners (doctors, other healthcare professionals) | 9 | 10% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 223 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 18% |
| Researcher | 24 | 11% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 23 | 10% |
| Student > Doctoral Student | 10 | 4% |
| Other | 21 | 9% |
| Unknown | 81 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 17% |
| Engineering | 23 | 10% |
| Medicine and Dentistry | 19 | 9% |
| Materials Science | 12 | 5% |
| Agricultural and Biological Sciences | 8 | 4% |
| Other | 28 | 13% |
| Unknown | 94 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 177. 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 25 March 2024.
All research outputs
#229,525
of 25,559,053 outputs
Outputs from JACC: Basic to Translational Science
#18
of 809 outputs
Outputs of similar age
#4,511
of 351,950 outputs
Outputs of similar age from JACC: Basic to Translational Science
#1
of 21 outputs
Altmetric has tracked 25,559,053 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 809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. 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 351,950 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 21 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 99% of its contemporaries.