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Fuzzy cross-entropy

Overview of attention for article published in Journal of Uncertainty Analysis and Applications, February 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Fuzzy cross-entropy
Published in
Journal of Uncertainty Analysis and Applications, February 2015
DOI 10.1186/s40467-015-0029-5
Authors

Xiang Li

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 67%
Researcher 1 11%
Other 1 11%
Student > Postgraduate 1 11%
Readers by discipline Count As %
Mathematics 4 44%
Computer Science 2 22%
Economics, Econometrics and Finance 1 11%
Decision Sciences 1 11%
Unknown 1 11%

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 July 2019.
All research outputs
#4,845,730
of 15,462,543 outputs
Outputs from Journal of Uncertainty Analysis and Applications
#2
of 4 outputs
Outputs of similar age
#101,030
of 258,685 outputs
Outputs of similar age from Journal of Uncertainty Analysis and Applications
#1
of 1 outputs
Altmetric has tracked 15,462,543 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4 research outputs from this source. They receive a mean Attention Score of 2.8. This one scored the same or higher as 2 of them.
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 258,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
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