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The presence of occupational structure in online texts based on word embedding NLP models

Overview of attention for article published in EPJ Data Science, November 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
21 X users

Readers on

mendeley
10 Mendeley
Title
The presence of occupational structure in online texts based on word embedding NLP models
Published in
EPJ Data Science, November 2021
DOI 10.1140/epjds/s13688-021-00311-9
Authors

Zoltán Kmetty, Júlia Koltai, Tamás Rudas

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Professor > Associate Professor 1 10%
Lecturer 1 10%
Unknown 3 30%
Readers by discipline Count As %
Social Sciences 3 30%
Business, Management and Accounting 2 20%
Arts and Humanities 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 03 May 2024.
All research outputs
#2,640,195
of 25,836,587 outputs
Outputs from EPJ Data Science
#219
of 460 outputs
Outputs of similar age
#61,865
of 521,188 outputs
Outputs of similar age from EPJ Data Science
#2
of 8 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.3. This one has gotten more attention than average, scoring higher than 52% 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 521,188 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 88% of its contemporaries.
We're also able to compare this research output to 8 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.