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Calibrate to innovate: Community age vectors and the real time incrementation of language change

Overview of attention for article published in Language in Society, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Calibrate to innovate: Community age vectors and the real time incrementation of language change
Published in
Language in Society, October 2020
DOI 10.1017/s0047404520000834
Authors

Sophie Holmes-Elliott

Twitter Demographics

The data shown below were collected from the profiles of 9 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Bachelor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Linguistics 2 40%
Nursing and Health Professions 1 20%
Computer Science 1 20%
Unknown 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 October 2020.
All research outputs
#3,068,938
of 17,494,559 outputs
Outputs from Language in Society
#87
of 363 outputs
Outputs of similar age
#80,996
of 320,117 outputs
Outputs of similar age from Language in Society
#4
of 9 outputs
Altmetric has tracked 17,494,559 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 363 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 76% 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 320,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.