You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reshaping the Ventricle From Within MIRTH (Myocardial Intramural Remodeling by Transvenous Tether) Ventriculoplasty in Swine
|
|---|---|
| Published in |
JACC: Basic to Translational Science, November 2022
|
| DOI | 10.1016/j.jacbts.2022.07.002 |
| Pubmed ID | |
| Authors |
Christopher G. Bruce, Jaffar M. Khan, Toby Rogers, D. Korel Yildirim, Andrea E. Jaimes, Felicia Seemann, Marcus Y. Chen, Kendall O’Brien, Daniel A. Herzka, William H. Schenke, Michael A. Eckhaus, Amanda G. Potersnak, Adrienne Campbell-Washburn, Vasilis C. Babaliaros, Adam B. Greenbaum, Robert J. Lederman |
X Demographics
The data shown below were collected from the profiles of 138 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 | 38 | 28% |
| India | 5 | 4% |
| United Kingdom | 4 | 3% |
| Turkey | 3 | 2% |
| Germany | 3 | 2% |
| Japan | 3 | 2% |
| Canada | 3 | 2% |
| Mexico | 3 | 2% |
| Pakistan | 2 | 1% |
| Other | 19 | 14% |
| Unknown | 55 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 97 | 70% |
| Practitioners (doctors, other healthcare professionals) | 26 | 19% |
| Scientists | 11 | 8% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 23 February 2024.
All research outputs
#516,946
of 25,757,133 outputs
Outputs from JACC: Basic to Translational Science
#35
of 822 outputs
Outputs of similar age
#12,539
of 442,065 outputs
Outputs of similar age from JACC: Basic to Translational Science
#1
of 28 outputs
Altmetric has tracked 25,757,133 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 822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done particularly well, scoring higher than 95% 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 442,065 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 97% of its contemporaries.
We're also able to compare this research output to 28 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 96% of its contemporaries.