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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identify the Characteristics of Metabolic Syndrome and Non-obese Phenotype: Data Visualization and a Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Medicine, April 2021
|
| DOI | 10.3389/fmed.2021.626580 |
| Pubmed ID | |
| Authors |
Cheng-Sheng Yu, Shy-Shin Chang, Chang-Hsien Lin, Yu-Jiun Lin, Jenny L. Wu, Ray-Jade Chen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Lecturer | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Computer Science | 4 | 16% |
| Environmental Science | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 11 | 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 20 November 2021.
All research outputs
#20,695,081
of 26,289,377 outputs
Outputs from Frontiers in Medicine
#4,888
of 7,465 outputs
Outputs of similar age
#335,515
of 460,735 outputs
Outputs of similar age from Frontiers in Medicine
#233
of 361 outputs
Altmetric has tracked 26,289,377 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,465 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 29th percentile – i.e., 29% 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 460,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 361 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.