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Documenting research with transgender and gender diverse people: protocol for an evidence map and thematic analysis

Overview of attention for article published in Systematic Reviews, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Citations

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16 Dimensions

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113 Mendeley
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Title
Documenting research with transgender and gender diverse people: protocol for an evidence map and thematic analysis
Published in
Systematic Reviews, February 2017
DOI 10.1186/s13643-017-0427-5
Pubmed ID
Authors

Zack Marshall, Vivian Welch, James Thomas, Fern Brunger, Michelle Swab, Ian Shemilt, Chris Kaposy

Abstract

There is limited information about how transgender, gender diverse, and Two-Spirit (trans) people have been represented and studied by researchers. The objectives of this study are to (1) map and describe trans research in the social sciences, sciences, humanities, health, education, and business, (2) identify evidence gaps and opportunities for more responsible research with trans people, (3) assess the use of text mining for study identification, and (4) increase access to trans research for key stakeholders through the creation of a web-based evidence map. Study design was informed by community consultations and pilot searches. Eligibility criteria were established to include all original research of any design, including trans people or their health information, and published in English in peer-reviewed journals. A complex electronic search strategy based on relevant concepts in 15 databases was developed to obtain a broad range of results linked to transgender, gender diverse, and Two-Spirit individuals and communities. Searches conducted in early 2015 resulted in 25,242 references after removal of duplicates. Based on the number of references, resources, and an objective to capture upwards of 90% of the existing literature, this study is a good candidate for text mining using Latent Dirichlet Allocation to improve efficiency of the screening process. The following information will be collected for evidence mapping: study topic, study design, methods and data sources, recruitment strategies, sample size, sample demographics, researcher name and affiliation, country where research was conducted, funding source, and year of publication. The proposed research incorporates an extensive search strategy, text mining, and evidence map; it therefore has the potential to build on knowledge in several fields. Review results will increase awareness of existing trans research, identify evidence gaps, and inform strategic research prioritization. Publishing the map online will improve access to research for key stakeholders including community members, policy makers, and healthcare providers. This study will also contribute to knowledge in the area of text mining for study identification by providing an example of how semi-automation performs for screening on title and abstract and on full text.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Peru 1 <1%
Unknown 111 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Student > Master 12 11%
Researcher 10 9%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Other 28 25%
Unknown 28 25%
Readers by discipline Count As %
Social Sciences 17 15%
Medicine and Dentistry 14 12%
Nursing and Health Professions 12 11%
Psychology 11 10%
Computer Science 5 4%
Other 25 22%
Unknown 29 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 20 September 2022.
All research outputs
#3,234,528
of 25,339,932 outputs
Outputs from Systematic Reviews
#582
of 2,220 outputs
Outputs of similar age
#55,986
of 316,882 outputs
Outputs of similar age from Systematic Reviews
#21
of 52 outputs
Altmetric has tracked 25,339,932 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 73% 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 316,882 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 82% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.