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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk Prediction for Non-alcoholic Fatty Liver Disease Based on Biochemical and Dietary Variables in a Chinese Han Population
|
|---|---|
| Published in |
Frontiers in Public Health, July 2020
|
| DOI | 10.3389/fpubh.2020.00220 |
| Pubmed ID | |
| Authors |
Xinting Pan, Xiaoxu Xie, Hewei Peng, Xiaoling Cai, Huiquan Li, Qizhu Hong, Yunli Wu, Xu Lin, Shanghua Xu, Xian-e Peng |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 13% |
| Other | 2 | 13% |
| Unspecified | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Unspecified | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Decision Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
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 28 July 2020.
All research outputs
#14,488,906
of 23,220,133 outputs
Outputs from Frontiers in Public Health
#3,752
of 10,672 outputs
Outputs of similar age
#221,962
of 398,655 outputs
Outputs of similar age from Frontiers in Public Health
#109
of 218 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,672 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 61% 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 398,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.