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 |
Predicting LVOT Obstruction in Transcatheter Mitral Valve Implantation Concept of the Neo-LVOT
|
|---|---|
| Published in |
JACC: Cardiovascular Imaging, March 2016
|
| DOI | 10.1016/j.jcmg.2016.01.005 |
| Pubmed ID | |
| Authors |
Philipp Blanke, Christopher Naoum, Danny Dvir, Vinayak Bapat, Kevin Ong, David Muller, Anson Cheung, Jian Ye, James K. Min, Nicolo Piazza, Pascal Theriault-Lauzier, John Webb, Jonathon Leipsic |
X Demographics
The data shown below were collected from the profiles of 39 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 | 8 | 21% |
| Argentina | 3 | 8% |
| Spain | 3 | 8% |
| United Kingdom | 3 | 8% |
| Venezuela, Bolivarian Republic of | 2 | 5% |
| Mexico | 2 | 5% |
| Peru | 1 | 3% |
| Malaysia | 1 | 3% |
| Netherlands | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 64% |
| Scientists | 6 | 15% |
| Practitioners (doctors, other healthcare professionals) | 4 | 10% |
| Science communicators (journalists, bloggers, editors) | 4 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | <1% |
| Unknown | 122 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 22% |
| Other | 16 | 13% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Doctoral Student | 8 | 7% |
| Student > Postgraduate | 8 | 7% |
| Other | 26 | 21% |
| Unknown | 26 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 65 | 53% |
| Engineering | 15 | 12% |
| Agricultural and Biological Sciences | 3 | 2% |
| Computer Science | 3 | 2% |
| Physics and Astronomy | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 31 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 18 May 2017.
All research outputs
#1,668,996
of 25,394,764 outputs
Outputs from JACC: Cardiovascular Imaging
#568
of 2,701 outputs
Outputs of similar age
#27,122
of 314,846 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#13
of 63 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done well, scoring higher than 78% 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 314,846 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 91% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.