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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Approaches for Myocardial Motion and Deformation Analysis
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, January 2020
|
| DOI | 10.3389/fcvm.2019.00190 |
| Pubmed ID | |
| Authors |
Nicolas Duchateau, Andrew P. King, Mathieu De Craene |
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 | 2 | 15% |
| Switzerland | 1 | 8% |
| Venezuela, Bolivarian Republic of | 1 | 8% |
| Germany | 1 | 8% |
| India | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Practitioners (doctors, other healthcare professionals) | 4 | 31% |
| Scientists | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 23% |
| Student > Ph. D. Student | 12 | 17% |
| Lecturer > Senior Lecturer | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 17% |
| Medicine and Dentistry | 11 | 16% |
| Computer Science | 11 | 16% |
| Physics and Astronomy | 3 | 4% |
| Mathematics | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 22 | 32% |
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 20 January 2020.
All research outputs
#3,794,238
of 23,186,937 outputs
Outputs from Frontiers in Cardiovascular Medicine
#507
of 7,094 outputs
Outputs of similar age
#88,350
of 456,680 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#14
of 45 outputs
Altmetric has tracked 23,186,937 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 7,094 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 92% 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 456,680 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 80% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.