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When Algorithms Err: Differential Impact of Early vs. Late Errors on Users’ Reliance on Algorithms

Overview of attention for article published in ACM Transactions on Computer-Human Interaction, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 622)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
7 news outlets
twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
27 Mendeley
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Title
When Algorithms Err: Differential Impact of Early vs. Late Errors on Users’ Reliance on Algorithms
Published in
ACM Transactions on Computer-Human Interaction, March 2023
DOI 10.1145/3557889
Authors

Antino Kim, Mochen Yang, Jingjing Zhang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 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 4 15%
Unspecified 3 11%
Researcher 3 11%
Student > Master 2 7%
Professor 1 4%
Other 3 11%
Unknown 11 41%
Readers by discipline Count As %
Business, Management and Accounting 4 15%
Unspecified 3 11%
Computer Science 3 11%
Psychology 1 4%
Social Sciences 1 4%
Other 2 7%
Unknown 13 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 25 May 2023.
All research outputs
#820,077
of 25,978,998 outputs
Outputs from ACM Transactions on Computer-Human Interaction
#10
of 622 outputs
Outputs of similar age
#18,285
of 440,246 outputs
Outputs of similar age from ACM Transactions on Computer-Human Interaction
#1
of 23 outputs
Altmetric has tracked 25,978,998 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 622 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 98% 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 440,246 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 95% of its contemporaries.
We're also able to compare this research output to 23 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.