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COVID-19 vaccine and menstrual conditions in female: data analysis of the Vaccine Adverse Event Reporting System (VAERS)

Overview of attention for article published in BMC Women's Health, October 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
58 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
30 Mendeley
Summary Twitter Dimensions citations
Title
COVID-19 vaccine and menstrual conditions in female: data analysis of the Vaccine Adverse Event Reporting System (VAERS)
Published in
BMC Women's Health, October 2022
DOI 10.1186/s12905-022-01934-4
Pubmed ID
36195902
Authors

Bing Zhang, Xiao Yu, Jinxing Liu, Jinbao Liu, Pengfei Liu

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 58 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 30%
Student > Master 5 17%
Student > Bachelor 3 10%
Student > Postgraduate 1 3%
Lecturer 1 3%
Other 0 0%
Unknown 11 37%
Readers by discipline Count As %
Unspecified 10 33%
Medicine and Dentistry 3 10%
Nursing and Health Professions 2 7%
Environmental Science 1 3%
Business, Management and Accounting 1 3%
Other 2 7%
Unknown 11 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 26 March 2023.
All research outputs
#1,034,673
of 23,784,266 outputs
Outputs from BMC Women's Health
#80
of 1,995 outputs
Outputs of similar age
#23,463
of 444,422 outputs
Outputs of similar age from BMC Women's Health
#1
of 84 outputs
Altmetric has tracked 23,784,266 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,995 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 done particularly well, scoring higher than 96% 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 444,422 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 84 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 99% of its contemporaries.

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