| Title |
Use of Novel Electrogram “Lumipoint” Algorithm to Detect Critical Isthmus and Abnormal Potentials for Ablation in Ventricular Tachycardia
|
|---|---|
| Published in |
JACC: Clinical Electrophysiology, March 2019
|
| DOI | 10.1016/j.jacep.2019.01.016 |
| Pubmed ID | |
| Authors |
Claire A Martin, Masateru Takigawa, Ruairidh Martin, Philippe Maury, Christian Meyer, Tom Wong, Rui Shi, Parag Gajendragadkar, Antonio Frontera, Ghassen Cheniti, Nathaniel Thompson, Takeshi Kitamura, Konstantinos Vlachos, Michael Wolf, Felix Bourier, Anna Lam, Josselin Duchâteau, Grégoire Massoullié, Thomas Pambrun, Arnaud Denis, Nicolas Derval, Mélèze Hocini, Michel Haïssaguerre, Pierre Jaïs, Frédéric Sacher |
X Demographics
The data shown below were collected from the profiles of 54 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 | 17 | 31% |
| Japan | 4 | 7% |
| Germany | 3 | 6% |
| Spain | 2 | 4% |
| Ireland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| Guinea | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 22 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 80% |
| Practitioners (doctors, other healthcare professionals) | 5 | 9% |
| Scientists | 4 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Other | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Librarian | 4 | 7% |
| Professor | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 41% |
| Unspecified | 3 | 5% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Linguistics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 01 August 2020.
All research outputs
#1,129,881
of 25,385,509 outputs
Outputs from JACC: Clinical Electrophysiology
#202
of 1,554 outputs
Outputs of similar age
#26,329
of 364,819 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#10
of 53 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% 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 has done well, scoring higher than 87% 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 364,819 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 92% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.