| Title |
Identification of Myocardial Disarray in Patients With Hypertrophic Cardiomyopathy and Ventricular Arrhythmias
|
|---|---|
| Published in |
JACC, May 2019
|
| DOI | 10.1016/j.jacc.2019.02.065 |
| Pubmed ID | |
| Authors |
Rina Ariga, Elizabeth M. Tunnicliffe, Sanjay G. Manohar, Masliza Mahmod, Betty Raman, Stefan K. Piechnik, Jane M. Francis, Matthew D. Robson, Stefan Neubauer, Hugh Watkins |
X Demographics
The data shown below were collected from the profiles of 86 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 | 16 | 19% |
| United Kingdom | 12 | 14% |
| Argentina | 8 | 9% |
| Spain | 8 | 9% |
| Netherlands | 3 | 3% |
| Colombia | 2 | 2% |
| Japan | 2 | 2% |
| Saudi Arabia | 2 | 2% |
| Chile | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 26 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 63% |
| Scientists | 20 | 23% |
| Practitioners (doctors, other healthcare professionals) | 9 | 10% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 18% |
| Researcher | 17 | 12% |
| Student > Bachelor | 14 | 10% |
| Student > Master | 12 | 9% |
| Other | 11 | 8% |
| Other | 25 | 18% |
| Unknown | 37 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 37% |
| Engineering | 13 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Agricultural and Biological Sciences | 3 | 2% |
| Nursing and Health Professions | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 50 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 115. 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 14 October 2019.
All research outputs
#369,088
of 25,658,541 outputs
Outputs from JACC
#859
of 16,836 outputs
Outputs of similar age
#7,856
of 364,222 outputs
Outputs of similar age from JACC
#32
of 224 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,836 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 94% 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 364,222 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 224 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.