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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Untargeted urine metabolomics and machine learning provide potential metabolic signatures in children with autism spectrum disorder
|
|---|---|
| Published in |
Frontiers in Psychiatry, February 2024
|
| DOI | 10.3389/fpsyt.2024.1261617 |
| Pubmed ID | |
| Authors |
Xian Liu, Xin Sun, Cheng Guo, Zhi-Fang Huang, Yi-Ru Chen, Fang-Mei Feng, Li-Jie Wu, Wen-Xiong Chen |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Researcher | 1 | 17% |
| Lecturer | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 4 | 67% |
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 20 February 2024.
All research outputs
#16,298,802
of 25,738,558 outputs
Outputs from Frontiers in Psychiatry
#5,846
of 12,881 outputs
Outputs of similar age
#149,206
of 331,749 outputs
Outputs of similar age from Frontiers in Psychiatry
#142
of 576 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 52% 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 331,749 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 52% of its contemporaries.
We're also able to compare this research output to 576 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 72% of its contemporaries.