↓ Skip to main content

Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection

Overview of attention for article published in Journal of the American Statistical Association, June 2003
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

policy
1 policy source
patent
4 patents

Readers on

mendeley
64 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.
Article details
Title
Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection
Published in
Journal of the American Statistical Association, June 2003
DOI 10.1198/016214503000224
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
Netherlands 1 2%
Ghana 1 2%
France 1 2%
Brazil 1 2%
Argentina 1 2%
Unknown 57 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 16 25%
Professor 6 9%
Student > Bachelor 5 8%
Student > Master 5 8%
Other 8 13%
Unknown 8 13%
Readers by discipline
Readers by discipline Count As %
Mathematics 26 41%
Agricultural and Biological Sciences 11 17%
Biochemistry, Genetics and Molecular Biology 5 8%
Computer Science 4 6%
Medicine and Dentistry 4 6%
Other 5 8%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 February 2021.
All research outputs
#4,979,524
of 33,729,289 outputs
Outputs from Journal of the American Statistical Association
#548
of 3,829 outputs
Outputs of similar age
#9,805
of 75,110 outputs
Outputs of similar age from Journal of the American Statistical Association
#3
of 4 outputs
Altmetric has tracked 33,729,289 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,829 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 83% 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 75,110 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.