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How We Do Things With Words: Analyzing Text as Social and Cultural Data

Overview of attention for article published in arXiv, August 2020
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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)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

policy
1 policy source
twitter
70 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
143 Mendeley
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Title
How We Do Things With Words: Analyzing Text as Social and Cultural Data
Published in
arXiv, August 2020
DOI 10.3389/frai.2020.00062
Pubmed ID
Authors

Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Student > Master 21 15%
Researcher 12 8%
Student > Doctoral Student 11 8%
Student > Bachelor 8 6%
Other 22 15%
Unknown 40 28%
Readers by discipline Count As %
Computer Science 25 17%
Social Sciences 24 17%
Linguistics 11 8%
Engineering 7 5%
Arts and Humanities 7 5%
Other 26 18%
Unknown 43 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 23 February 2023.
All research outputs
#838,140
of 25,770,491 outputs
Outputs from arXiv
#10,869
of 943,612 outputs
Outputs of similar age
#24,040
of 426,512 outputs
Outputs of similar age from arXiv
#269
of 24,113 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 943,612 research outputs from this source. They receive a mean Attention Score of 4.3. 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 426,512 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 24,113 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 98% of its contemporaries.