↓ Skip to main content

Weberized Mumford-Shah Model with Bose-Einstein Photon Noise

Overview of attention for article published in Applied Mathematics & Optimization, March 2006
Altmetric Badge

Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
13 Mendeley
Title
Weberized Mumford-Shah Model with Bose-Einstein Photon Noise
Published in
Applied Mathematics & Optimization, March 2006
DOI 10.1007/s00245-005-0850-1
Authors

Jianhong Shen, Yoon-Mo Jung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Researcher 3 23%
Student > Doctoral Student 1 8%
Professor 1 8%
Student > Bachelor 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Engineering 3 23%
Agricultural and Biological Sciences 2 15%
Computer Science 2 15%
Business, Management and Accounting 1 8%
Nursing and Health Professions 1 8%
Other 3 23%
Unknown 1 8%
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 07 March 2023.
All research outputs
#7,731,085
of 23,504,445 outputs
Outputs from Applied Mathematics & Optimization
#6
of 75 outputs
Outputs of similar age
#23,963
of 67,920 outputs
Outputs of similar age from Applied Mathematics & Optimization
#1
of 1 outputs
Altmetric has tracked 23,504,445 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 75 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 74% 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 67,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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