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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Serum biomarker-based osteoporosis risk prediction and the systemic effects of Trifolium pratense ethanolic extract in a postmenopausal model
|
|---|---|
| Published in |
Chinese Medicine, June 2022
|
| DOI | 10.1186/s13020-022-00622-7 |
| Pubmed ID | |
| Authors |
Yixian Quah, Jireh Chan Yi-Le, Na-Hye Park, Yuan Yee Lee, Eon-Bee Lee, Seung-Hee Jang, Min-Jeong Kim, Man Hee Rhee, Seung-Jin Lee, Seung-Chun Park |
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 Kingdom | 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 9% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 14 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Environmental Science | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 14 | 64% |
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 15 June 2022.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Chinese Medicine
#320
of 660 outputs
Outputs of similar age
#262,630
of 443,723 outputs
Outputs of similar age from Chinese Medicine
#10
of 23 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 38th percentile – i.e., 38% 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 443,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.