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CAP-miRSeq: a comprehensive analysis pipeline for microRNA sequencing data

Overview of attention for article published in BMC Genomics, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
patent
1 patent

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
231 Mendeley
citeulike
3 CiteULike
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Title
CAP-miRSeq: a comprehensive analysis pipeline for microRNA sequencing data
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-423
Pubmed ID
Authors

Zhifu Sun, Jared Evans, Aditya Bhagwate, Sumit Middha, Matthew Bockol, Huihuang Yan, Jean-Pierre Kocher

Abstract

miRNAs play a key role in normal physiology and various diseases. miRNA profiling through next generation sequencing (miRNA-seq) has become the main platform for biological research and biomarker discovery. However, analyzing miRNA sequencing data is challenging as it needs significant amount of computational resources and bioinformatics expertise. Several web based analytical tools have been developed but they are limited to processing one or a pair of samples at time and are not suitable for a large scale study. Lack of flexibility and reliability of these web applications are also common issues.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 3 1%
Germany 2 <1%
Brazil 2 <1%
Finland 2 <1%
Canada 2 <1%
Sweden 1 <1%
Ireland 1 <1%
Italy 1 <1%
Other 8 3%
Unknown 206 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 25%
Researcher 52 23%
Student > Master 26 11%
Student > Postgraduate 14 6%
Student > Bachelor 13 6%
Other 35 15%
Unknown 33 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 36%
Biochemistry, Genetics and Molecular Biology 60 26%
Medicine and Dentistry 14 6%
Computer Science 14 6%
Veterinary Science and Veterinary Medicine 4 2%
Other 18 8%
Unknown 38 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 12 April 2018.
All research outputs
#2,013,400
of 25,373,627 outputs
Outputs from BMC Genomics
#459
of 11,244 outputs
Outputs of similar age
#19,589
of 242,006 outputs
Outputs of similar age from BMC Genomics
#12
of 276 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 242,006 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 91% of its contemporaries.
We're also able to compare this research output to 276 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 95% of its contemporaries.