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Recent advances in trust region algorithms

Overview of attention for article published in Mathematical Programming, March 2015
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Mentioned by

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1 X user

Citations

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194 Dimensions

Readers on

mendeley
147 Mendeley
Title
Recent advances in trust region algorithms
Published in
Mathematical Programming, March 2015
DOI 10.1007/s10107-015-0893-2
Authors

Ya-xiang Yuan

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

Geographical breakdown

Country Count As %
Russia 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 34%
Researcher 23 16%
Student > Master 10 7%
Student > Doctoral Student 9 6%
Other 6 4%
Other 16 11%
Unknown 33 22%
Readers by discipline Count As %
Engineering 38 26%
Computer Science 22 15%
Mathematics 21 14%
Chemistry 9 6%
Materials Science 3 2%
Other 9 6%
Unknown 45 31%
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 14 July 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Mathematical Programming
#588
of 677 outputs
Outputs of similar age
#221,130
of 261,487 outputs
Outputs of similar age from Mathematical Programming
#10
of 21 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 261,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.