| Title |
Detection and Prediction of Bioprosthetic Aortic Valve Degeneration
|
|---|---|
| Published in |
JACC, March 2019
|
| DOI | 10.1016/j.jacc.2018.12.056 |
| Pubmed ID | |
| Authors |
Timothy R.G. Cartlidge, Mhairi K. Doris, Stephanie L. Sellers, Tania A. Pawade, Audrey C. White, Renzo Pessotto, Jacek Kwiecinski, Alison Fletcher, Carlos Alcaide, Christophe Lucatelli, Cameron Densem, James H.F. Rudd, Edwin J.R. van Beek, Adriana Tavares, Renu Virmani, Daniel Berman, Jonathon A. Leipsic, David E. Newby, Marc R. Dweck |
X Demographics
The data shown below were collected from the profiles of 113 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 | 24 | 21% |
| United Kingdom | 16 | 14% |
| Canada | 7 | 6% |
| Japan | 4 | 4% |
| Spain | 3 | 3% |
| Italy | 3 | 3% |
| Uruguay | 3 | 3% |
| Colombia | 2 | 2% |
| France | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 37 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 67 | 59% |
| Scientists | 25 | 22% |
| Practitioners (doctors, other healthcare professionals) | 16 | 14% |
| Science communicators (journalists, bloggers, editors) | 5 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 17% |
| Other | 16 | 14% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 22 | 19% |
| Unknown | 25 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 43% |
| Psychology | 5 | 4% |
| Engineering | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 13 | 12% |
| Unknown | 35 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 21 January 2020.
All research outputs
#653,207
of 25,959,914 outputs
Outputs from JACC
#1,675
of 17,024 outputs
Outputs of similar age
#15,186
of 371,715 outputs
Outputs of similar age from JACC
#69
of 390 outputs
Altmetric has tracked 25,959,914 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 17,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done particularly well, scoring higher than 90% 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 371,715 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 390 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.