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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation and Diagnostic Performance of a CFD-Based Non-invasive Method for the Diagnosis of Aortic Coarctation
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, December 2020
|
| DOI | 10.3389/fninf.2020.613666 |
| Pubmed ID | |
| Authors |
Qiyang Lu, Weiyuan Lin, Ruichen Zhang, Rui Chen, Xiaoyu Wei, Tingyu Li, Zhicheng Du, Zhaofeng Xie, Zhuliang Yu, Xinzhou Xie, Hui Liu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 30% |
| Sports and Recreations | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Neuroscience | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 14 March 2021.
All research outputs
#2,845,707
of 23,267,128 outputs
Outputs from Frontiers in Neuroinformatics
#132
of 762 outputs
Outputs of similar age
#79,436
of 508,421 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#9
of 21 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 762 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 82% 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 508,421 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 84% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.