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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Catechins from oolong tea improve uterine defects by inhibiting STAT3 signaling in polycystic ovary syndrome mice
|
|---|---|
| Published in |
Chinese Medicine, November 2020
|
| DOI | 10.1186/s13020-020-00405-y |
| Pubmed ID | |
| Authors |
Ge Hong, Hao Wu, Shi-Tang Ma, Zhe Su |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 13% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Researcher | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 19 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 8 | 21% |
| Unknown | 19 | 50% |
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 09 November 2023.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Chinese Medicine
#424
of 660 outputs
Outputs of similar age
#393,806
of 518,251 outputs
Outputs of similar age from Chinese Medicine
#7
of 14 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 21st percentile – i.e., 21% 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 518,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.