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Bridger: a new framework for de novo transcriptome assembly using RNA-seq data

Overview of attention for article published in Genome Biology, February 2015
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
31 X users
facebook
2 Facebook pages
wikipedia
4 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
260 Dimensions

Readers on

mendeley
392 Mendeley
citeulike
9 CiteULike
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Title
Bridger: a new framework for de novo transcriptome assembly using RNA-seq data
Published in
Genome Biology, February 2015
DOI 10.1186/s13059-015-0596-2
Pubmed ID
Authors

Zheng Chang, Guojun Li, Juntao Liu, Yu Zhang, Cody Ashby, Deli Liu, Carole L Cramer, Xiuzhen Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 392 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Germany 3 <1%
Spain 3 <1%
Japan 3 <1%
Sweden 2 <1%
Colombia 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
Czechia 1 <1%
Other 8 2%
Unknown 359 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 27%
Researcher 90 23%
Student > Master 51 13%
Student > Doctoral Student 22 6%
Student > Bachelor 21 5%
Other 53 14%
Unknown 49 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 181 46%
Biochemistry, Genetics and Molecular Biology 99 25%
Computer Science 21 5%
Immunology and Microbiology 9 2%
Environmental Science 6 2%
Other 15 4%
Unknown 61 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 31 December 2019.
All research outputs
#1,377,802
of 25,658,139 outputs
Outputs from Genome Biology
#1,077
of 4,498 outputs
Outputs of similar age
#19,070
of 368,681 outputs
Outputs of similar age from Genome Biology
#18
of 65 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 76% 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 368,681 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 94% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.