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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies
|
|---|---|
| Published in |
Circulation Journal, June 2021
|
| DOI | 10.1253/circj.cj-21-0265 |
| Pubmed ID | |
| Authors |
Susumu Katsushika, Satoshi Kodera, Mitsuhiko Nakamoto, Kota Ninomiya, Nobutaka Kakuda, Hiroki Shinohara, Ryo Matsuoka, Hirotaka Ieki, Masae Uehara, Yasutomi Higashikuni, Koki Nakanishi, Tomoko Nakao, Norifumi Takeda, Katsuhito Fujiu, Masao Daimon, Jiro Ando, Hiroshi Akazawa, Hiroyuki Morita, Issei Komuro |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 11% |
| Japan | 4 | 11% |
| Germany | 3 | 8% |
| United States | 2 | 6% |
| Spain | 2 | 6% |
| El Salvador | 1 | 3% |
| Portugal | 1 | 3% |
| France | 1 | 3% |
| Unknown | 18 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 69% |
| Scientists | 6 | 17% |
| Science communicators (journalists, bloggers, editors) | 4 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 26% |
| Unknown | 14 | 74% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 29 June 2022.
All research outputs
#1,905,131
of 25,832,559 outputs
Outputs from Circulation Journal
#71
of 2,366 outputs
Outputs of similar age
#46,593
of 456,803 outputs
Outputs of similar age from Circulation Journal
#2
of 41 outputs
Altmetric has tracked 25,832,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 456,803 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 89% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.