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Evaluation of de novo transcriptome assemblies from RNA-Seq data

Overview of attention for article published in Genome Biology, December 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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
8 X users
wikipedia
8 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
238 Dimensions

Readers on

mendeley
691 Mendeley
citeulike
7 CiteULike
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Title
Evaluation of de novo transcriptome assemblies from RNA-Seq data
Published in
Genome Biology, December 2014
DOI 10.1186/s13059-014-0553-5
Pubmed ID
Authors

Bo Li, Nathanael Fillmore, Yongsheng Bai, Mike Collins, James A Thomson, Ron Stewart, Colin N Dewey

Abstract

De novo RNA-Seq assembly facilitates the study of transcriptomes for species without sequenced genomes, but it is challenging to select the most accurate assembly in this context. To address this challenge, we developed a model-based score, RSEM-EVAL, for evaluating assemblies when the ground truth is unknown. We show that RSEM-EVAL correctly reflects assembly accuracy, as measured by REF-EVAL, a refined set of ground-truth-based scores that we also developed. Guided by RSEM-EVAL, we assembled the transcriptome of the regenerating axolotl limb; this assembly compares favorably to a previous assembly. A software package implementing our methods, DETONATE, is freely available at http://deweylab.biostat.wisc.edu/detonate.

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 691 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
Germany 9 1%
Brazil 5 <1%
Spain 5 <1%
Italy 3 <1%
Norway 3 <1%
United Kingdom 3 <1%
Japan 2 <1%
Mexico 2 <1%
Other 17 2%
Unknown 629 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 167 24%
Researcher 157 23%
Student > Master 91 13%
Student > Bachelor 58 8%
Student > Doctoral Student 33 5%
Other 114 16%
Unknown 71 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 345 50%
Biochemistry, Genetics and Molecular Biology 149 22%
Computer Science 45 7%
Environmental Science 15 2%
Engineering 11 2%
Other 35 5%
Unknown 91 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 18 August 2023.
All research outputs
#2,219,242
of 26,017,215 outputs
Outputs from Genome Biology
#1,847
of 4,513 outputs
Outputs of similar age
#29,310
of 365,859 outputs
Outputs of similar age from Genome Biology
#51
of 99 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 58% 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 365,859 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 99 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.