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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, May 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 (#18 of 524)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
2 blogs
twitter
22 tweeters
patent
5 patents
weibo
1 weibo user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4912 Dimensions

Readers on

mendeley
2207 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, May 2012
DOI 10.1089/omi.2011.0118
Pubmed ID
Authors

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

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 22 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 2,207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
United Kingdom 3 <1%
Spain 3 <1%
Brazil 2 <1%
Portugal 1 <1%
Italy 1 <1%
Australia 1 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Other 10 <1%
Unknown 2180 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 557 25%
Researcher 365 17%
Student > Master 298 14%
Student > Bachelor 203 9%
Student > Doctoral Student 126 6%
Other 280 13%
Unknown 378 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 685 31%
Agricultural and Biological Sciences 553 25%
Medicine and Dentistry 145 7%
Immunology and Microbiology 73 3%
Computer Science 64 3%
Other 208 9%
Unknown 479 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 08 October 2020.
All research outputs
#635,311
of 16,932,568 outputs
Outputs from OMICS: A Journal of Integrative Biology
#18
of 524 outputs
Outputs of similar age
#3,715
of 130,246 outputs
Outputs of similar age from OMICS: A Journal of Integrative Biology
#1
of 9 outputs
Altmetric has tracked 16,932,568 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 524 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 130,246 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 97% of its contemporaries.
We're also able to compare this research output to 9 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