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Making Sense of AI Benefits: A Mixed-method Study in Canadian Public Administration

Overview of attention for article published in Information Systems Frontiers, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
14 Mendeley
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Title
Making Sense of AI Benefits: A Mixed-method Study in Canadian Public Administration
Published in
Information Systems Frontiers, February 2024
DOI 10.1007/s10796-024-10475-0
Authors

Rohit Madan, Mona Ashok

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 29%
Unspecified 2 14%
Student > Ph. D. Student 2 14%
Student > Postgraduate 2 14%
Student > Master 2 14%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 4 29%
Unspecified 3 21%
Business, Management and Accounting 3 21%
Social Sciences 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 0 0%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 February 2024.
All research outputs
#7,711,636
of 25,364,936 outputs
Outputs from Information Systems Frontiers
#94
of 341 outputs
Outputs of similar age
#45,874
of 162,582 outputs
Outputs of similar age from Information Systems Frontiers
#1
of 1 outputs
Altmetric has tracked 25,364,936 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 72% 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 162,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them