↓ Skip to main content

Orchestrating high-throughput genomic analysis with Bioconductor

Overview of attention for article published in Nature Methods, January 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
7 blogs
twitter
180 X users
patent
22 patents
weibo
8 weibo users
facebook
4 Facebook pages
wikipedia
7 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
2948 Dimensions

Readers on

mendeley
2420 Mendeley
citeulike
17 CiteULike
Title
Orchestrating high-throughput genomic analysis with Bioconductor
Published in
Nature Methods, January 2015
DOI 10.1038/nmeth.3252
Pubmed ID
Authors

Wolfgang Huber, Vincent J Carey, Robert Gentleman, Simon Anders, Marc Carlson, Benilton S Carvalho, Hector Corrada Bravo, Sean Davis, Laurent Gatto, Thomas Girke, Raphael Gottardo, Florian Hahne, Kasper D Hansen, Rafael A Irizarry, Michael Lawrence, Michael I Love, James MacDonald, Valerie Obenchain, Andrzej K Oleś, Hervé Pagès, Alejandro Reyes, Paul Shannon, Gordon K Smyth, Dan Tenenbaum, Levi Waldron, Martin Morgan

X Demographics

X Demographics

The data shown below were collected from the profiles of 180 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 2,420 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 <1%
United Kingdom 13 <1%
Germany 12 <1%
Spain 10 <1%
Netherlands 9 <1%
Brazil 4 <1%
Denmark 4 <1%
Italy 3 <1%
Mexico 3 <1%
Other 34 1%
Unknown 2306 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 601 25%
Researcher 489 20%
Student > Master 291 12%
Student > Bachelor 208 9%
Student > Doctoral Student 131 5%
Other 341 14%
Unknown 359 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 717 30%
Biochemistry, Genetics and Molecular Biology 659 27%
Medicine and Dentistry 145 6%
Computer Science 110 5%
Immunology and Microbiology 78 3%
Other 270 11%
Unknown 441 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 167. 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 02 April 2024.
All research outputs
#246,800
of 25,728,855 outputs
Outputs from Nature Methods
#230
of 5,409 outputs
Outputs of similar age
#2,835
of 363,527 outputs
Outputs of similar age from Nature Methods
#2
of 85 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,409 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.5. 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 363,527 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 99% of its contemporaries.
We're also able to compare this research output to 85 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 97% of its contemporaries.