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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Height predict incident non-alcoholic fatty liver disease among general adult population in Tianjin, China, independent of body mass index, waist circumference, waist-to-height ratio, and metabolic syndrome
|
|---|---|
| Published in |
BMC Public Health, March 2020
|
| DOI | 10.1186/s12889-020-08475-1 |
| Pubmed ID | |
| Authors |
Shubham Kumari, Xuena Wang, Yunyun Liu, Yeqing Gu, Yuhan Huang, Qing Zhang, Li Liu, Ge Meng, Hongmei Wu, Shaomei Sun, Xing Wang, Ming Zhou, Qiyu Jia, Guolin Wang, Kun Song, Kaijun Niu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Master | 3 | 16% |
| Student > Doctoral Student | 1 | 5% |
| Unspecified | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 21% |
| Nursing and Health Professions | 2 | 11% |
| Psychology | 2 | 11% |
| Immunology and Microbiology | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 7 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 27 March 2020.
All research outputs
#3,814,248
of 23,199,478 outputs
Outputs from BMC Public Health
#4,215
of 15,148 outputs
Outputs of similar age
#83,511
of 367,907 outputs
Outputs of similar age from BMC Public Health
#95
of 320 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 71% 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 367,907 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 77% of its contemporaries.
We're also able to compare this research output to 320 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 70% of its contemporaries.