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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnostic Improvements of Deep Learning–Based Image Reconstruction for Assessing Calcification-Related Obstructive Coronary Artery Disease
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, November 2021
|
| DOI | 10.3389/fcvm.2021.758793 |
| Pubmed ID | |
| Authors |
Yan Yi, Cheng Xu, Min Xu, Jing Yan, Yan-Yu Li, Jian Wang, Si-Jie Yang, Yu-Bo Guo, Yun Wang, Yu-Mei Li, Zheng-Yu Jin, Yi-Ning Wang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Student > Master | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 20% |
| Nursing and Health Professions | 1 | 7% |
| Computer Science | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 9 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 December 2021.
All research outputs
#14,711,696
of 22,641,687 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,055
of 6,515 outputs
Outputs of similar age
#229,556
of 436,182 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#228
of 781 outputs
Altmetric has tracked 22,641,687 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,515 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% 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 436,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 781 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 65% of its contemporaries.