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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis
|
|---|---|
| Published in |
Journal of Eating Disorders, February 2022
|
| DOI | 10.1186/s40337-022-00545-6 |
| Pubmed ID | |
| Authors |
Yaoxiang Ren, Chaoyi Lu, Han Yang, Qianyue Ma, Wesley R. Barnhart, Jianjun Zhou, Jinbo He |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 24 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 11% |
| Psychology | 2 | 5% |
| Unspecified | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 26 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 March 2022.
All research outputs
#4,024,276
of 23,283,373 outputs
Outputs from Journal of Eating Disorders
#363
of 824 outputs
Outputs of similar age
#97,758
of 513,988 outputs
Outputs of similar age from Journal of Eating Disorders
#16
of 43 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 824 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 55% 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 513,988 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 43 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 62% of its contemporaries.