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DrAmpl: a meta solver for optimization problem analysis

Overview of attention for article published in Computational Management Science, August 2009
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Mentioned by

patent
3 patents

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
Title
DrAmpl: a meta solver for optimization problem analysis
Published in
Computational Management Science, August 2009
DOI 10.1007/s10287-009-0101-z
Authors

R. Fourer, Dominique Orban

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 %
United States 1 7%
Canada 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 2 13%
Professor > Associate Professor 2 13%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline Count As %
Engineering 5 33%
Computer Science 2 13%
Mathematics 1 7%
Business, Management and Accounting 1 7%
Unknown 6 40%
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 06 December 2016.
All research outputs
#7,409,093
of 22,653,392 outputs
Outputs from Computational Management Science
#9
of 66 outputs
Outputs of similar age
#37,450
of 111,607 outputs
Outputs of similar age from Computational Management Science
#1
of 2 outputs
Altmetric has tracked 22,653,392 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 66 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 62% 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 111,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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