↓ Skip to main content

Bias detection and correction in RNA-Sequencing data

Overview of attention for article published in BMC Bioinformatics, July 2011
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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
patent
5 patents

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
498 Mendeley
citeulike
18 CiteULike
connotea
2 Connotea
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
Bias detection and correction in RNA-Sequencing data
Published in
BMC Bioinformatics, July 2011
DOI 10.1186/1471-2105-12-290
Pubmed ID
Authors

Wei Zheng, Lisa M Chung, Hongyu Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 498 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 5%
United Kingdom 7 1%
Canada 5 1%
Germany 4 <1%
France 4 <1%
Portugal 4 <1%
Brazil 4 <1%
Sweden 3 <1%
Norway 2 <1%
Other 14 3%
Unknown 427 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 151 30%
Researcher 141 28%
Student > Master 49 10%
Professor > Associate Professor 31 6%
Student > Doctoral Student 24 5%
Other 70 14%
Unknown 32 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 264 53%
Biochemistry, Genetics and Molecular Biology 98 20%
Computer Science 30 6%
Mathematics 19 4%
Medicine and Dentistry 17 3%
Other 34 7%
Unknown 36 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 10 January 2024.
All research outputs
#1,609,972
of 23,340,595 outputs
Outputs from BMC Bioinformatics
#326
of 7,388 outputs
Outputs of similar age
#7,363
of 120,650 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 88 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 120,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.