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Shannon entropy in time-varying semantic networks of titles of scientific paper

Overview of attention for article published in Applied Network Science, August 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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4 X users

Citations

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5 Dimensions

Readers on

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10 Mendeley
Title
Shannon entropy in time-varying semantic networks of titles of scientific paper
Published in
Applied Network Science, August 2020
DOI 10.1007/s41109-020-00292-0
Authors

Marcelo do Vale Cunha, Carlos Cesar Ribeiro Santos, Marcelo Albano Moret, Hernane Borges de Barros Pereira

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 %
Student > Bachelor 3 30%
Lecturer 2 20%
Other 1 10%
Researcher 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 2 20%
Environmental Science 1 10%
Linguistics 1 10%
Sports and Recreations 1 10%
Social Sciences 1 10%
Other 2 20%
Unknown 2 20%
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 07 November 2020.
All research outputs
#13,702,219
of 23,358,705 outputs
Outputs from Applied Network Science
#274
of 513 outputs
Outputs of similar age
#199,720
of 400,093 outputs
Outputs of similar age from Applied Network Science
#18
of 38 outputs
Altmetric has tracked 23,358,705 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 400,093 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.