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Non-coding RNAs in polycystic ovary syndrome: a systematic review and meta-analysis

Overview of attention for article published in Reproductive Biology and Endocrinology, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Non-coding RNAs in polycystic ovary syndrome: a systematic review and meta-analysis
Published in
Reproductive Biology and Endocrinology, January 2021
DOI 10.1186/s12958-020-00687-9
Pubmed ID
Authors

Liangshan Mu, Xiaoting Sun, Mixue Tu, Dan Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 12%
Student > Master 5 10%
Researcher 4 8%
Student > Doctoral Student 3 6%
Unspecified 3 6%
Other 7 14%
Unknown 21 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 7 14%
Unspecified 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Agricultural and Biological Sciences 2 4%
Other 5 10%
Unknown 20 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 February 2021.
All research outputs
#6,875,753
of 23,274,744 outputs
Outputs from Reproductive Biology and Endocrinology
#255
of 1,002 outputs
Outputs of similar age
#170,055
of 506,073 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#2
of 21 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 74% 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 506,073 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.