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Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter

Overview of attention for article published in Journal of the Association for Information Science and Technology, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
3 blogs
policy
1 policy source
twitter
16 X users

Readers on

mendeley
303 Mendeley
citeulike
2 CiteULike
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Article details
Title
Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter
Published in
Journal of the Association for Information Science and Technology, May 2015
DOI 10.1002/asi.23456
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Canada 4 1%
United States 3 <1%
Netherlands 3 <1%
United Kingdom 3 <1%
Germany 3 <1%
Malaysia 2 <1%
Spain 2 <1%
Romania 1 <1%
Lebanon 1 <1%
Other 4 1%
Unknown 277 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 52 17%
Student > Master 43 14%
Student > Bachelor 35 12%
Librarian 32 11%
Researcher 23 8%
Other 57 19%
Unknown 61 20%
Readers by discipline
Readers by discipline Count As %
Computer Science 79 26%
Social Sciences 70 23%
Business, Management and Accounting 17 6%
Arts and Humanities 12 4%
Medicine and Dentistry 9 3%
Other 46 15%
Unknown 70 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 29 October 2023.
All research outputs
#1,606,246
of 32,734,737 outputs
Outputs from Journal of the Association for Information Science and Technology
#81
of 1,505 outputs
Outputs of similar age
#16,436
of 299,123 outputs
Outputs of similar age from Journal of the Association for Information Science and Technology
#6
of 129 outputs
Altmetric has tracked 32,734,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 94% 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 299,123 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.