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An improved constraint satisfaction adaptive neural network for job-shop scheduling

Overview of attention for article published in Journal of Scheduling, March 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
16 Mendeley
Title
An improved constraint satisfaction adaptive neural network for job-shop scheduling
Published in
Journal of Scheduling, March 2009
DOI 10.1007/s10951-009-0106-z
Authors

Shengxiang Yang, Dingwei Wang, Tianyou Chai, Graham Kendall

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 3 19%
Professor 2 13%
Unspecified 2 13%
Student > Bachelor 2 13%
Other 3 19%
Readers by discipline Count As %
Engineering 7 44%
Business, Management and Accounting 6 38%
Unspecified 2 13%
Computer Science 1 6%

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 08 January 2018.
All research outputs
#6,644,801
of 12,354,606 outputs
Outputs from Journal of Scheduling
#33
of 95 outputs
Outputs of similar age
#47,433
of 81,949 outputs
Outputs of similar age from Journal of Scheduling
#1
of 2 outputs
Altmetric has tracked 12,354,606 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 95 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 65% 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 81,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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