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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 10% |
| Canada | 1 | 10% |
| Brazil | 1 | 10% |
| Ukraine | 1 | 10% |
| France | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Researcher | 3 | 13% |
| Unspecified | 2 | 8% |
| Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 9 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 4 | 17% |
| Computer Science | 3 | 13% |
| Unspecified | 2 | 8% |
| Psychology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 46% |
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
#729,488
of 23,885,338 outputs
Outputs from ACM Transactions on Computer-Human Interaction
#7
of 580 outputs
Outputs of similar age
#16,466
of 427,639 outputs
Outputs of similar age from ACM Transactions on Computer-Human Interaction
#1
of 24 outputs
Altmetric has tracked 23,885,338 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 580 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 427,639 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 96% of its contemporaries.
We're also able to compare this research output to 24 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 99% of its contemporaries.