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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea
|
|---|---|
| Published in |
BMC Public Health, April 2022
|
| DOI | 10.1186/s12889-022-13131-x |
| Pubmed ID | |
| Authors |
Junho Kim, Sujeong Mun, Siwoo Lee, Kyoungsik Jeong, Younghwa Baek |
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 % |
|---|---|---|
| United States | 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Lecturer | 6 | 14% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 18 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 14% |
| Computer Science | 6 | 14% |
| Nursing and Health Professions | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 19 | 44% |
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 06 April 2022.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from BMC Public Health
#14,674
of 15,685 outputs
Outputs of similar age
#364,783
of 430,940 outputs
Outputs of similar age from BMC Public Health
#451
of 488 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 1st percentile – i.e., 1% 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 430,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 488 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.