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clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters.

Overview of attention for article published in OMICS: A Journal of Integrative Biology, March 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 322)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
2 blogs
twitter
12 tweeters
weibo
1 weibo user

Readers on

mendeley
415 Mendeley
citeulike
2 CiteULike
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Title
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters.
Published in
OMICS: A Journal of Integrative Biology, March 2012
DOI 10.1089/omi.2011.0118
Pubmed ID
Authors

Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He, Yu, Guangchuang, Wang, Li-Gen, Han, Yanyan, He, Qing-Yu

Abstract

Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 415 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 1%
Spain 4 <1%
United States 4 <1%
Brazil 2 <1%
China 2 <1%
Germany 1 <1%
Tunisia 1 <1%
France 1 <1%
Australia 1 <1%
Other 11 3%
Unknown 383 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 126 30%
Researcher 101 24%
Student > Master 54 13%
Student > Bachelor 42 10%
Student > Doctoral Student 20 5%
Other 72 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 209 50%
Biochemistry, Genetics and Molecular Biology 93 22%
Medicine and Dentistry 27 7%
Computer Science 20 5%
Unspecified 20 5%
Other 46 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 21 May 2018.
All research outputs
#484,405
of 11,026,397 outputs
Outputs from OMICS: A Journal of Integrative Biology
#16
of 322 outputs
Outputs of similar age
#3,942
of 102,353 outputs
Outputs of similar age from OMICS: A Journal of Integrative Biology
#1
of 6 outputs
Altmetric has tracked 11,026,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 322 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 102,353 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 96% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them