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Self-coding: A method to assess semantic validity and bias when coding open-ended responses

Overview of attention for article published in Research & Politics, July 2021
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
20 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Self-coding: A method to assess semantic validity and bias when coding open-ended responses
Published in
Research & Politics, July 2021
DOI 10.1177/20531680211031752
Authors

Rebecca A. Glazier, Amber E. Boydstun, Jessica T. Feezell

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 29%
Researcher 2 8%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Unspecified 1 4%
Other 1 4%
Unknown 9 38%
Readers by discipline Count As %
Social Sciences 5 21%
Engineering 3 13%
Arts and Humanities 2 8%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 13%
Unknown 9 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 27 January 2022.
All research outputs
#1,187,279
of 25,392,582 outputs
Outputs from Research & Politics
#96
of 455 outputs
Outputs of similar age
#28,932
of 441,317 outputs
Outputs of similar age from Research & Politics
#1
of 11 outputs
Altmetric has tracked 25,392,582 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 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. This one has done well, scoring higher than 78% 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 441,317 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 93% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.