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Equidade de sexo e gênero na pesquisa: fundamentação das diretrizes SAGER e uso recomendado*

Overview of attention for article published in Epidemiologia e Serviços de Saúde, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 308)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Equidade de sexo e gênero na pesquisa: fundamentação das diretrizes SAGER e uso recomendado*
Published in
Epidemiologia e Serviços de Saúde, July 2017
DOI 10.5123/s1679-49742017000300025
Pubmed ID
Authors

Shirin Heidari, Thomas F. Babor, Paola De Castro, Sera Tort, Mirjam Curno

Abstract

Sex and gender differences are often overlooked in research design, study implementation and scientific reporting, as well as in general science communication. This oversight limits the generalizability of research findings and their applicability to clinical practice, in particular for women but also for men. This article describes the rationale for an international set of guidelines to encourage a more systematic approach to the reporting of sex and gender in research across disciplines. A panel of 13 experts representing nine countries developed the guidelines through a series of teleconferences, conference presentations and a 2-day workshop. An internet survey of 716 journal editors, scientists and other members of the international publishing community was conducted as well as a literature search on sex and gender policies in scientific publishing. The Sex and Gender Equity in Research (SAGER) guidelines are a comprehensive procedure for reporting of sex and gender information in study design, data analyses, results and interpretation of findings. The SAGER guidelines are designed primarily to guide authors in preparing their manuscripts, but they are also useful for editors, as gatekeepers of science, to integrate assessment of sex and gender into all manuscripts as an integral part of the editorial process.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Professor 4 19%
Researcher 3 14%
Student > Bachelor 2 10%
Student > Doctoral Student 2 10%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 9 43%
Agricultural and Biological Sciences 2 10%
Psychology 2 10%
Computer Science 1 5%
Business, Management and Accounting 1 5%
Other 3 14%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 August 2021.
All research outputs
#1,347,780
of 18,812,670 outputs
Outputs from Epidemiologia e Serviços de Saúde
#5
of 308 outputs
Outputs of similar age
#43,273
of 425,440 outputs
Outputs of similar age from Epidemiologia e Serviços de Saúde
#1
of 2 outputs
Altmetric has tracked 18,812,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 308 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 98% 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 425,440 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 2 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