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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Data for Analyses presented in associated publication: Investigating trends in those who experience menstrual bleeding changes after SARS CoV-2 vaccination

Authors: Lee, Katharine MN; Junkins, Eleanor J; Luo, Chongliang; Clancy, Kathryn BH;

Data for Analyses presented in associated publication: Investigating trends in those who experience menstrual bleeding changes after SARS CoV-2 vaccination

Abstract

This is the data used for analyses presented in our associated publication (details to be provided later). There are three datasets, because we analyzed by specific, biologically relevant subgroups (pre-menopausal people with predictable menstrual cycles, pre-menopausal people who usually do not menstruate, and post-menopausal people). The data provided here has been cleaned and aggregated as described in the associated publication. Specifically, here we have only included the variables that are included in our analyses we collapsed specific identities (gender, race, ethnicity) into binarized categories (as used in the publication) in order to reduce the likelihood someone could be re-identified from this de-identified data this dataset also does not include unique identifiers for individuals, but instead has row numbers for each dataset (starting at 1 for each data subset). There are no repeated individuals between datasets, as these are mutually exclusive subgroups Additional information regarding the survey and data processes can be found at https://osf.io/6rvxk/?view_only=f91f1247658f49e3bbf59b2f6cfd3898

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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