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Lognormal distributions of user post lengths in Internet discussions - a consequence of the Weber-Fechner law?

Overview of attention for article published in EPJ Data Science, February 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
3 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
55 Mendeley
Title
Lognormal distributions of user post lengths in Internet discussions - a consequence of the Weber-Fechner law?
Published in
EPJ Data Science, February 2013
DOI 10.1140/epjds14
Authors

Pawel Sobkowicz, Mike Thelwall, Kevan Buckley, Georgios Paltoglou, Antoni Sobkowicz

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Virgin Islands, U.S. 1 2%
Unknown 52 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Student > Master 7 13%
Other 6 11%
Student > Bachelor 5 9%
Researcher 5 9%
Other 8 15%
Unknown 9 16%
Readers by discipline Count As %
Computer Science 9 16%
Social Sciences 5 9%
Physics and Astronomy 5 9%
Decision Sciences 3 5%
Environmental Science 3 5%
Other 15 27%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 April 2022.
All research outputs
#4,978,221
of 26,017,215 outputs
Outputs from EPJ Data Science
#304
of 455 outputs
Outputs of similar age
#38,775
of 208,474 outputs
Outputs of similar age from EPJ Data Science
#4
of 4 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 32nd percentile – i.e., 32% 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 208,474 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 79% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.