↓ Skip to main content

ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data

Overview of attention for article published in Genome Biology, July 2011
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
158 Mendeley
citeulike
14 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
ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data
Published in
Genome Biology, July 2011
DOI 10.1186/gb-2011-12-7-r69
Pubmed ID
Authors

Brad A Friedman, Tom Maniatis

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
United Kingdom 3 2%
Germany 2 1%
Sweden 2 1%
Portugal 1 <1%
India 1 <1%
Russia 1 <1%
Belgium 1 <1%
Unknown 140 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 35%
Student > Ph. D. Student 35 22%
Professor 16 10%
Student > Master 11 7%
Professor > Associate Professor 8 5%
Other 26 16%
Unknown 7 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 58%
Biochemistry, Genetics and Molecular Biology 22 14%
Medicine and Dentistry 12 8%
Computer Science 8 5%
Mathematics 3 2%
Other 11 7%
Unknown 10 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 August 2011.
All research outputs
#7,777,586
of 25,371,288 outputs
Outputs from Genome Biology
#3,368
of 4,467 outputs
Outputs of similar age
#42,202
of 130,277 outputs
Outputs of similar age from Genome Biology
#26
of 41 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 130,277 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 67% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.