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Reproducible Extraction of Cross-lingual Topics (rectr)

Overview of attention for article published in Communication Methods and Measures, September 2020
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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 (#39 of 187)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
20 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Reproducible Extraction of Cross-lingual Topics (rectr)
Published in
Communication Methods and Measures, September 2020
DOI 10.1080/19312458.2020.1812555
Authors

Chung-Hong Chan, Jing Zeng, Hartmut Wessler, Marc Jungblut, Kasper Welbers, Joseph W Bajjalieh, Wouter van Atteveldt, Scott L. Althaus

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 33%
Student > Master 6 22%
Lecturer 2 7%
Student > Doctoral Student 1 4%
Unknown 9 33%
Readers by discipline Count As %
Social Sciences 12 44%
Computer Science 2 7%
Psychology 2 7%
Decision Sciences 1 4%
Linguistics 1 4%
Other 0 0%
Unknown 9 33%
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 16 February 2023.
All research outputs
#2,557,515
of 25,233,554 outputs
Outputs from Communication Methods and Measures
#39
of 187 outputs
Outputs of similar age
#64,027
of 407,898 outputs
Outputs of similar age from Communication Methods and Measures
#1
of 6 outputs
Altmetric has tracked 25,233,554 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 187 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 well, scoring higher than 79% 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 407,898 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 84% of its contemporaries.
We're also able to compare this research output to 6 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