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dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data

Overview of attention for article published in BMC Bioinformatics, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
175 Mendeley
citeulike
2 CiteULike
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Title
dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data
Published in
BMC Bioinformatics, October 2016
DOI 10.1186/s12859-016-1276-2
Pubmed ID
Authors

Sergi Sayols, Denise Scherzinger, Holger Klein

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
Slovenia 1 <1%
Brazil 1 <1%
Unknown 170 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 25%
Researcher 42 24%
Student > Master 19 11%
Student > Bachelor 9 5%
Student > Doctoral Student 8 5%
Other 22 13%
Unknown 32 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 30%
Biochemistry, Genetics and Molecular Biology 48 27%
Computer Science 7 4%
Immunology and Microbiology 6 3%
Engineering 6 3%
Other 19 11%
Unknown 36 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 November 2016.
All research outputs
#4,733,749
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#1,657
of 7,793 outputs
Outputs of similar age
#71,330
of 328,031 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 120 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 78% 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 328,031 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 77% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.