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Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling

Overview of attention for article published in Sociological Methodology, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 245)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling
Published in
Sociological Methodology, June 2019
DOI 10.1177/0081175019852762
Authors

Jan Goldenstein, Philipp Poschmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 8 11%
Researcher 7 10%
Lecturer 5 7%
Student > Doctoral Student 5 7%
Other 14 19%
Unknown 17 24%
Readers by discipline Count As %
Social Sciences 27 38%
Business, Management and Accounting 8 11%
Computer Science 5 7%
Engineering 3 4%
Arts and Humanities 3 4%
Other 11 15%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 December 2019.
All research outputs
#3,080,408
of 25,775,807 outputs
Outputs from Sociological Methodology
#45
of 245 outputs
Outputs of similar age
#61,357
of 368,677 outputs
Outputs of similar age from Sociological Methodology
#3
of 9 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 245 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 81% 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 368,677 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 83% 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 6 of them.