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Characterization of polycystic ovary syndrome among Flo app users around the world

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 896)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

news
2 news outlets
twitter
9 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Characterization of polycystic ovary syndrome among Flo app users around the world
Published in
Reproductive Biology and Endocrinology, March 2021
DOI 10.1186/s12958-021-00719-y
Pubmed ID
Authors

Tarun Jain, Olivia Negris, Dannielle Brown, Isabel Galic, Rodion Salimgaraev, Liudmila Zhaunova

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 13%
Student > Ph. D. Student 5 8%
Student > Master 5 8%
Other 4 6%
Unspecified 4 6%
Other 13 21%
Unknown 24 38%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Nursing and Health Professions 10 16%
Unspecified 4 6%
Psychology 3 5%
Computer Science 2 3%
Other 7 11%
Unknown 23 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 10 June 2021.
All research outputs
#1,278,974
of 21,338,015 outputs
Outputs from Reproductive Biology and Endocrinology
#49
of 896 outputs
Outputs of similar age
#32,835
of 315,832 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#1
of 1 outputs
Altmetric has tracked 21,338,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 896 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 94% 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 315,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them