| Title |
Ablation in Persistent Atrial Fibrillation Using Stochastic Trajectory Analysis of Ranked Signals (STAR) Mapping Method
|
|---|---|
| Published in |
JACC: Clinical Electrophysiology, May 2019
|
| DOI | 10.1016/j.jacep.2019.04.007 |
| Pubmed ID | |
| Authors |
Shohreh Honarbakhsh, Ross J Hunter, Waqas Ullah, Emily Keating, Malcolm Finlay, Richard J Schilling |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 3 | 23% |
| Spain | 1 | 8% |
| Netherlands | 1 | 8% |
| Nigeria | 1 | 8% |
| Saudi Arabia | 1 | 8% |
| Chile | 1 | 8% |
| Australia | 1 | 8% |
| United States | 1 | 8% |
| Germany | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Researcher | 6 | 13% |
| Other | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Librarian | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 38% |
| Agricultural and Biological Sciences | 4 | 9% |
| Engineering | 3 | 6% |
| Computer Science | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 August 2019.
All research outputs
#4,303,041
of 25,385,509 outputs
Outputs from JACC: Clinical Electrophysiology
#844
of 1,554 outputs
Outputs of similar age
#83,051
of 364,294 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#29
of 47 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 364,294 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.