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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2021
|
| DOI | 10.3389/fnins.2020.618481 |
| Pubmed ID | |
| Authors |
Xi Zhu, Wei Xia, Zhuqing Bao, Yaohui Zhong, Yu Fang, Fei Yang, Xiaohua Gu, Jing Ye, Wennuo Huang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 24% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 24% |
| Nursing and Health Professions | 2 | 12% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Computer Science | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 February 2021.
All research outputs
#3,713,122
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#3,191
of 11,543 outputs
Outputs of similar age
#104,039
of 537,132 outputs
Outputs of similar age from Frontiers in Neuroscience
#256
of 404 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 70% 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 537,132 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 404 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.