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The two-dimensional cutting stock problem revisited

Overview of attention for article published in Mathematical Programming, August 2004
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Mentioned by

wikipedia
9 Wikipedia pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
21 Mendeley
citeulike
1 CiteULike
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Title
The two-dimensional cutting stock problem revisited
Published in
Mathematical Programming, August 2004
DOI 10.1007/s10107-004-0548-1
Authors

Steven S. Seiden, Gerhard J. Woeginger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 19%
Student > Master 4 19%
Student > Ph. D. Student 3 14%
Professor 3 14%
Student > Doctoral Student 2 10%
Other 3 14%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 7 33%
Engineering 6 29%
Mathematics 3 14%
Business, Management and Accounting 2 10%
Unknown 3 14%
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 18 August 2022.
All research outputs
#7,582,522
of 23,122,481 outputs
Outputs from Mathematical Programming
#149
of 677 outputs
Outputs of similar age
#19,314
of 58,685 outputs
Outputs of similar age from Mathematical Programming
#1
of 1 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 49th percentile – i.e., 49% 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 58,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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