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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, November 2020
|
| DOI | 10.3389/fcvm.2020.584727 |
| Pubmed ID | |
| Authors |
Alessandro Satriano, Yarmaghan Afzal, Muhammad Sarim Afzal, Ali Fatehi Hassanabad, Cody Wu, Steven Dykstra, Jacqueline Flewitt, Patricia Feuchter, Rosa Sandonato, Bobak Heydari, Naeem Merchant, Andrew G. Howarth, Carmen P. Lydell, Aneal Khan, Nowell M. Fine, Russell Greiner, James A. White |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 25% |
| United States | 2 | 17% |
| Germany | 1 | 8% |
| Spain | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 25% |
| Engineering | 4 | 11% |
| Computer Science | 1 | 3% |
| Neuroscience | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 20 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 December 2020.
All research outputs
#4,521,707
of 23,262,131 outputs
Outputs from Frontiers in Cardiovascular Medicine
#626
of 7,158 outputs
Outputs of similar age
#107,861
of 415,600 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#16
of 182 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,158 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 91% 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 415,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 182 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 91% of its contemporaries.