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Population based Local Search for university course timetabling problems

Overview of attention for article published in Applied Intelligence, June 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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28 Dimensions

Readers on

mendeley
62 Mendeley
Title
Population based Local Search for university course timetabling problems
Published in
Applied Intelligence, June 2013
DOI 10.1007/s10489-013-0444-6
Authors

Anmar Abuhamdah, Masri Ayob, Graham Kendall, Nasser R. Sabar

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Malaysia 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Student > Master 11 18%
Student > Bachelor 7 11%
Lecturer 6 10%
Student > Doctoral Student 4 6%
Other 8 13%
Unknown 10 16%
Readers by discipline Count As %
Computer Science 38 61%
Engineering 9 15%
Business, Management and Accounting 2 3%
Decision Sciences 1 2%
Unspecified 1 2%
Other 2 3%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 May 2018.
All research outputs
#13,671,220
of 23,305,591 outputs
Outputs from Applied Intelligence
#184
of 1,768 outputs
Outputs of similar age
#104,309
of 196,857 outputs
Outputs of similar age from Applied Intelligence
#3
of 3 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,768 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done well, scoring higher than 89% 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 196,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.