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Maximum a posteriori estimators as a limit of Bayes estimators

Overview of attention for article published in Mathematical Programming, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 700)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
51 Mendeley
Title
Maximum a posteriori estimators as a limit of Bayes estimators
Published in
Mathematical Programming, January 2018
DOI 10.1007/s10107-018-1241-0
Authors

Robert Bassett, Julio Deride

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Master 13 25%
Student > Bachelor 5 10%
Researcher 4 8%
Student > Doctoral Student 2 4%
Other 2 4%
Unknown 12 24%
Readers by discipline Count As %
Computer Science 10 20%
Engineering 10 20%
Mathematics 3 6%
Economics, Econometrics and Finance 3 6%
Earth and Planetary Sciences 3 6%
Other 11 22%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 May 2023.
All research outputs
#1,918,705
of 23,862,416 outputs
Outputs from Mathematical Programming
#6
of 700 outputs
Outputs of similar age
#46,315
of 446,122 outputs
Outputs of similar age from Mathematical Programming
#1
of 6 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 700 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 99% 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 446,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 6 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