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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using artificial intelligence in the development of diagnostic models of coronary artery disease with imaging markers: A scoping review
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, October 2022
|
| DOI | 10.3389/fcvm.2022.945451 |
| Pubmed ID | |
| Authors |
Xiao Wang, Junfeng Wang, Wenjun Wang, Mingxiang Zhu, Hua Guo, Junyu Ding, Jin Sun, Di Zhu, Yongjie Duan, Xu Chen, Peifang Zhang, Zhenzhou Wu, Kunlun He |
X Demographics
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 > Master | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Unspecified | 1 | 7% |
| Sports and Recreations | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 0 | 0% |
| 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 10 November 2022.
All research outputs
#15,004,928
of 23,081,466 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,171
of 6,995 outputs
Outputs of similar age
#221,156
of 440,825 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#247
of 1,039 outputs
Altmetric has tracked 23,081,466 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 6,995 research outputs from this source. They receive a mean Attention Score of 4.2. 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 440,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,039 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 70% of its contemporaries.