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Opportunities and challenges in long-read sequencing data analysis

Overview of attention for article published in Genome Biology (Online Edition), February 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
170 tweeters

Citations

dimensions_citation
737 Dimensions

Readers on

mendeley
1304 Mendeley
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Title
Opportunities and challenges in long-read sequencing data analysis
Published in
Genome Biology (Online Edition), February 2020
DOI 10.1186/s13059-020-1935-5
Pubmed ID
Authors

Shanika L. Amarasinghe, Shian Su, Xueyi Dong, Luke Zappia, Matthew E. Ritchie, Quentin Gouil

Twitter Demographics

The data shown below were collected from the profiles of 170 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 1,304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1304 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 268 21%
Researcher 190 15%
Student > Bachelor 184 14%
Student > Master 148 11%
Student > Doctoral Student 53 4%
Other 140 11%
Unknown 321 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 427 33%
Agricultural and Biological Sciences 223 17%
Immunology and Microbiology 44 3%
Computer Science 42 3%
Medicine and Dentistry 35 3%
Other 172 13%
Unknown 361 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 110. 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 26 July 2021.
All research outputs
#280,535
of 21,232,578 outputs
Outputs from Genome Biology (Online Edition)
#163
of 4,016 outputs
Outputs of similar age
#7,772
of 367,227 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,232,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. 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 367,227 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 1 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