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COMAN: a web server for comprehensive metatranscriptomics analysis

Overview of attention for article published in BMC Genomics, August 2016
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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8 X users

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102 Mendeley
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Title
COMAN: a web server for comprehensive metatranscriptomics analysis
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2964-z
Pubmed ID
Authors

Yueqiong Ni, Jun Li, Gianni Panagiotou

Abstract

Microbiota-oriented studies based on metagenomic or metatranscriptomic sequencing have revolutionised our understanding on microbial ecology and the roles of both clinical and environmental microbes. The analysis of massive metatranscriptomic data requires extensive computational resources, a collection of bioinformatics tools and expertise in programming. We developed COMAN (Comprehensive Metatranscriptomics Analysis), a web-based tool dedicated to automatically and comprehensively analysing metatranscriptomic data. COMAN pipeline includes quality control of raw reads, removal of reads derived from non-coding RNA, followed by functional annotation, comparative statistical analysis, pathway enrichment analysis, co-expression network analysis and high-quality visualisation. The essential data generated by COMAN are also provided in tabular format for additional analysis and integration with other software. The web server has an easy-to-use interface and detailed instructions, and is freely available at http://sbb.hku.hk/COMAN/ CONCLUSIONS: COMAN is an integrated web server dedicated to comprehensive functional analysis of metatranscriptomic data, translating massive amount of reads to data tables and high-standard figures. It is expected to facilitate the researchers with less expertise in bioinformatics in answering microbiota-related biological questions and to increase the accessibility and interpretation of microbiota RNA-Seq data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 101 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 25%
Student > Master 17 17%
Student > Ph. D. Student 15 15%
Student > Doctoral Student 7 7%
Student > Bachelor 5 5%
Other 17 17%
Unknown 15 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 26%
Agricultural and Biological Sciences 22 22%
Computer Science 8 8%
Immunology and Microbiology 6 6%
Environmental Science 5 5%
Other 16 16%
Unknown 18 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 April 2019.
All research outputs
#5,857,378
of 23,498,099 outputs
Outputs from BMC Genomics
#2,379
of 10,787 outputs
Outputs of similar age
#95,605
of 358,243 outputs
Outputs of similar age from BMC Genomics
#63
of 265 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 358,243 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.