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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms
|
---|---|
Published in |
Frontiers in Cardiovascular Medicine, February 2022
|
DOI | 10.3389/fcvm.2021.816985 |
Pubmed ID | |
Authors |
Elisa Rauseo, Muhammad Omer, Alborz Amir-Khalili, Alireza Sojoudi, Thu-Thao Le, Stuart Alexander Cook, Derek John Hausenloy, Briana Ang, Desiree-Faye Toh, Jennifer Bryant, Calvin Woon Loong Chin, Jose Miguel Paiva, Kenneth Fung, Jackie Cooper, Mohammed Yunus Khanji, Nay Aung, Steffen Erhard Petersen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 25% |
Switzerland | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Unspecified | 1 | 7% |
Researcher | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 0 | 0% |
Unknown | 8 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 13% |
Unspecified | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Social Sciences | 1 | 7% |
Other | 1 | 7% |
Unknown | 8 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 March 2022.
All research outputs
#6,414,050
of 23,347,114 outputs
Outputs from Frontiers in Cardiovascular Medicine
#998
of 7,263 outputs
Outputs of similar age
#156,817
of 553,861 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#157
of 945 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,263 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 86% 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 553,861 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 71% of its contemporaries.
We're also able to compare this research output to 945 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.