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Detection of Sociolinguistic Features in Digital Social Networks for the Detection of Communities

Overview of attention for article published in Cognitive Computation, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Detection of Sociolinguistic Features in Digital Social Networks for the Detection of Communities
Published in
Cognitive Computation, January 2021
DOI 10.1007/s12559-021-09818-9
Authors

Edwin Puertas, Luis Gabriel Moreno-Sandoval, Javier Redondo, Jorge Andres Alvarado-Valencia, Alexandra Pomares-Quimbaya

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Unspecified 2 7%
Other 2 7%
Professor 2 7%
Lecturer 2 7%
Other 9 30%
Unknown 9 30%
Readers by discipline Count As %
Computer Science 8 27%
Business, Management and Accounting 3 10%
Unspecified 2 7%
Engineering 2 7%
Social Sciences 2 7%
Other 2 7%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 January 2021.
All research outputs
#12,913,052
of 23,275,636 outputs
Outputs from Cognitive Computation
#93
of 417 outputs
Outputs of similar age
#215,714
of 505,414 outputs
Outputs of similar age from Cognitive Computation
#7
of 14 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 417 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 77% 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 505,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.