You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
|
|---|---|
| Published in |
Frontiers in Medicine, November 2021
|
| DOI | 10.3389/fmed.2021.768052 |
| Pubmed ID | |
| Authors |
Wenwen Xu, Wanlong Wu, Yu Zheng, Zhiwei Chen, Xinwei Tao, Danting Zhang, Jiangfeng Zhao, Kaiwen Wang, Bingpeng Guo, Qun Luo, Qian Han, Yan Zhou, Shuang Ye |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 22% |
| Netherlands | 2 | 22% |
| China | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Practitioners (doctors, other healthcare professionals) | 4 | 44% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Unknown | 6 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 6 | 75% |
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 09 January 2022.
All research outputs
#6,482,695
of 23,577,654 outputs
Outputs from Frontiers in Medicine
#1,513
of 6,086 outputs
Outputs of similar age
#142,037
of 515,053 outputs
Outputs of similar age from Frontiers in Medicine
#123
of 578 outputs
Altmetric has tracked 23,577,654 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 6,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 74% 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 515,053 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 72% of its contemporaries.
We're also able to compare this research output to 578 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.