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Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system

Overview of attention for article published in Journal of the Operational Research Society, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
80 Mendeley
Title
Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
Published in
Journal of the Operational Research Society, December 2017
DOI 10.1057/palgrave.jors.2601915
Authors

S Robinson, T Alifantis, J S Edwards, J Ladbrook, A Waller

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
India 1 1%
Germany 1 1%
North Macedonia 1 1%
Unknown 75 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Student > Master 13 16%
Professor 7 9%
Researcher 5 6%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 19 24%
Readers by discipline Count As %
Business, Management and Accounting 26 33%
Engineering 6 8%
Social Sciences 5 6%
Computer Science 4 5%
Decision Sciences 4 5%
Other 11 14%
Unknown 24 30%
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 16 November 2021.
All research outputs
#6,407,558
of 22,764,165 outputs
Outputs from Journal of the Operational Research Society
#99
of 945 outputs
Outputs of similar age
#130,650
of 439,160 outputs
Outputs of similar age from Journal of the Operational Research Society
#65
of 496 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 945 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 88% 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 439,160 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 69% of its contemporaries.
We're also able to compare this research output to 496 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.