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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated Quality-Controlled Cardiovascular Magnetic Resonance Pericardial Fat Quantification Using a Convolutional Neural Network in the UK Biobank
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, July 2021
|
| DOI | 10.3389/fcvm.2021.677574 |
| Pubmed ID | |
| Authors |
Andrew Bard, Zahra Raisi-Estabragh, Maddalena Ardissino, Aaron Mark Lee, Francesca Pugliese, Damini Dey, Sandip Sarkar, Patricia B. Munroe, Stefan Neubauer, Nicholas C. Harvey, Steffen E. Petersen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 5% |
| United States | 1 | 3% |
| Switzerland | 1 | 3% |
| South Africa | 1 | 3% |
| Spain | 1 | 3% |
| Chile | 1 | 3% |
| Belgium | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 31 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 68% |
| Scientists | 7 | 18% |
| Practitioners (doctors, other healthcare professionals) | 4 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 3 | 8% |
| Lecturer | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 8 | 20% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 33% |
| Business, Management and Accounting | 2 | 5% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 16 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 117. 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 02 June 2022.
All research outputs
#370,900
of 25,974,666 outputs
Outputs from Frontiers in Cardiovascular Medicine
#50
of 9,424 outputs
Outputs of similar age
#9,988
of 454,215 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#3
of 513 outputs
Altmetric has tracked 25,974,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,424 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 454,215 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 97% of its contemporaries.
We're also able to compare this research output to 513 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 99% of its contemporaries.