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Developing and testing interaction-based coding schemes for the analysis of sociolinguistic variation

Overview of attention for article published in Language & Communication, November 2022
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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)

Mentioned by

twitter
13 tweeters

Readers on

mendeley
1 Mendeley
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Title
Developing and testing interaction-based coding schemes for the analysis of sociolinguistic variation
Published in
Language & Communication, November 2022
DOI 10.1016/j.langcom.2022.05.001
Authors

Mirjam Elisabeth Eiswirth

Twitter Demographics

The data shown below were collected from the profiles of 13 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 100%
Readers by discipline Count As %
Linguistics 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 June 2022.
All research outputs
#3,030,121
of 21,592,997 outputs
Outputs from Language & Communication
#55
of 310 outputs
Outputs of similar age
#51,663
of 296,825 outputs
Outputs of similar age from Language & Communication
#2
of 4 outputs
Altmetric has tracked 21,592,997 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 310 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 82% 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 296,825 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.