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Large-scale patterns of number use in spoken and written English

Overview of attention for article published in Corpus Linguistics and Linguistic Theory, March 2023
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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 (94th percentile)

Mentioned by

twitter
42 tweeters

Readers on

mendeley
1 Mendeley
Summary Twitter
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Title
Large-scale patterns of number use in spoken and written English
Published in
Corpus Linguistics and Linguistic Theory, March 2023
DOI 10.1515/cllt-2022-0082
Authors

Greg Woodin, Bodo Winter, Jeannette Littlemore, Marcus Perlman, Jack Grieve

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 42 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 %
Student > Master 1 100%
Readers by discipline Count As %
Linguistics 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 09 April 2023.
All research outputs
#1,175,989
of 23,726,221 outputs
Outputs from Corpus Linguistics and Linguistic Theory
#2
of 63 outputs
Outputs of similar age
#20,614
of 384,188 outputs
Outputs of similar age from Corpus Linguistics and Linguistic Theory
#1
of 1 outputs
Altmetric has tracked 23,726,221 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 63 research outputs from this source. They receive a mean Attention Score of 3.9. 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 384,188 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 94% of its contemporaries.
We're also able to compare this research output to 1 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

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