↓ Skip to main content

Mutual Information between Discrete and Continuous Data Sets

Overview of attention for article published in PLOS ONE, February 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
5 X users
patent
2 patents

Citations

dimensions_citation
523 Dimensions

Readers on

mendeley
545 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mutual Information between Discrete and Continuous Data Sets
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087357
Pubmed ID
Authors

Brian C. Ross

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 545 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 <1%
United States 2 <1%
Brazil 1 <1%
India 1 <1%
Chile 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 532 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 136 25%
Student > Master 90 17%
Researcher 68 12%
Student > Bachelor 36 7%
Student > Doctoral Student 31 6%
Other 59 11%
Unknown 125 23%
Readers by discipline Count As %
Computer Science 116 21%
Engineering 97 18%
Agricultural and Biological Sciences 29 5%
Physics and Astronomy 24 4%
Biochemistry, Genetics and Molecular Biology 22 4%
Other 104 19%
Unknown 153 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 October 2023.
All research outputs
#6,459,565
of 26,017,215 outputs
Outputs from PLOS ONE
#93,193
of 225,486 outputs
Outputs of similar age
#57,448
of 242,367 outputs
Outputs of similar age from PLOS ONE
#1,768
of 5,826 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 58% 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 242,367 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 75% of its contemporaries.
We're also able to compare this research output to 5,826 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.