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A matheuristic algorithm for the one-dimensional cutting stock and scheduling problem with heterogeneous orders

Overview of attention for article published in TOP, September 2019
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

mendeley
24 Mendeley
Title
A matheuristic algorithm for the one-dimensional cutting stock and scheduling problem with heterogeneous orders
Published in
TOP, September 2019
DOI 10.1007/s11750-019-00531-3
Authors

Anselmo Ramalho Pitombeira-Neto, Bruno de Athayde Prata

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 4 17%
Student > Master 3 13%
Professor 2 8%
Student > Postgraduate 2 8%
Other 6 25%
Unknown 3 13%
Readers by discipline Count As %
Engineering 9 38%
Unspecified 1 4%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 September 2019.
All research outputs
#15,581,198
of 23,163,378 outputs
Outputs from TOP
#71
of 99 outputs
Outputs of similar age
#194,319
of 313,741 outputs
Outputs of similar age from TOP
#2
of 3 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 99 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 313,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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.