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On time-indexed formulations for the parallel machine scheduling problem with a common server

Overview of attention for article published in Engineering Optimization, October 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 299)
  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
3 X users

Citations

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1 Dimensions

Readers on

mendeley
15 Mendeley
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Title
On time-indexed formulations for the parallel machine scheduling problem with a common server
Published in
Engineering Optimization, October 2023
DOI 10.1080/0305215x.2023.2269847
Authors

João Marcos Pereira Silva, Anand Subramanian, Eduardo Uchoa

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 13 87%
Researcher 1 7%
Student > Ph. D. Student 1 7%
Readers by discipline Count As %
Unspecified 13 87%
Decision Sciences 1 7%
Engineering 1 7%
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 30 October 2023.
All research outputs
#14,778,158
of 25,363,685 outputs
Outputs from Engineering Optimization
#50
of 299 outputs
Outputs of similar age
#139,992
of 354,238 outputs
Outputs of similar age from Engineering Optimization
#1
of 1 outputs
Altmetric has tracked 25,363,685 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 299 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done well, scoring higher than 83% 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 354,238 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 59% 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