↓ Skip to main content

Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda

Overview of attention for article published in Communication Methods and Measures, December 2021
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 188)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
129 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
92 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda
Published in
Communication Methods and Measures, December 2021
DOI 10.1080/19312458.2021.2015574
Authors

Christian Baden, Christian Pipal, Martijn Schoonvelde, Mariken A. C. G van der Velden

X Demographics

X Demographics

The data shown below were collected from the profiles of 129 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Researcher 10 11%
Student > Master 10 11%
Lecturer 8 9%
Professor > Associate Professor 6 7%
Other 17 18%
Unknown 24 26%
Readers by discipline Count As %
Social Sciences 38 41%
Arts and Humanities 7 8%
Linguistics 4 4%
Psychology 4 4%
Computer Science 3 3%
Other 8 9%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 30 October 2023.
All research outputs
#428,943
of 25,701,027 outputs
Outputs from Communication Methods and Measures
#3
of 188 outputs
Outputs of similar age
#11,336
of 517,517 outputs
Outputs of similar age from Communication Methods and Measures
#1
of 3 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 188 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 517,517 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 97% of its contemporaries.
We're also able to compare this research output to 3 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