↓ Skip to main content

Considerations when using the significance analysis of microarrays (SAM) algorithm

Overview of attention for article published in BMC Bioinformatics, May 2005
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Readers on

mendeley
100 Mendeley
citeulike
4 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
Considerations when using the significance analysis of microarrays (SAM) algorithm
Published in
BMC Bioinformatics, May 2005
DOI 10.1186/1471-2105-6-129
Pubmed ID
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 100 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 4 4%
Korea, Republic of 1 1%
Japan 1 1%
United Kingdom 1 1%
France 1 1%
Spain 1 1%
Germany 1 1%
Canada 1 1%
Belgium 1 1%
Other 0 0%
Unknown 88 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 31 31%
Student > Ph. D. Student 22 22%
Professor 12 12%
Student > Master 6 6%
Professor > Associate Professor 6 6%
Other 18 18%
Unknown 5 5%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 41%
Medicine and Dentistry 14 14%
Biochemistry, Genetics and Molecular Biology 11 11%
Mathematics 5 5%
Computer Science 5 5%
Other 16 16%
Unknown 8 8%
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 11 July 2019.
All research outputs
#6,716,942
of 31,301,153 outputs
Outputs from BMC Bioinformatics
#2,103
of 8,027 outputs
Outputs of similar age
#18,085
of 87,921 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 39 outputs
Altmetric has tracked 31,301,153 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 8,027 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 71% 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 87,921 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 66% of its contemporaries.
We're also able to compare this research output to 39 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 64% of its contemporaries.