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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES
|
|---|---|
| Published in |
Frontiers in Public Health, September 2022
|
| DOI | 10.3389/fpubh.2022.1008794 |
| Pubmed ID | |
| Authors |
Kexing Han, Kexuan Tan, Jiapei Shen, Yuting Gu, Zilong Wang, Jiayu He, Luyang Kang, Weijie Sun, Long Gao, Yufeng Gao |
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 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 % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Lecturer | 1 | 10% |
| Other | 1 | 10% |
| Professor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 30% |
| Engineering | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 October 2022.
All research outputs
#18,301,286
of 23,509,982 outputs
Outputs from Frontiers in Public Health
#5,460
of 11,160 outputs
Outputs of similar age
#285,123
of 436,367 outputs
Outputs of similar age from Frontiers in Public Health
#601
of 1,394 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,160 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 436,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,394 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.