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Mash Screen: high-throughput sequence containment estimation for genome discovery

Overview of attention for article published in Genome Biology (Online Edition), November 2019
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
132 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Mash Screen: high-throughput sequence containment estimation for genome discovery
Published in
Genome Biology (Online Edition), November 2019
DOI 10.1186/s13059-019-1841-x
Pubmed ID
Authors

Brian D. Ondov, Gabriel J. Starrett, Anna Sappington, Aleksandra Kostic, Sergey Koren, Christopher B. Buck, Adam M. Phillippy

Twitter Demographics

The data shown below were collected from the profiles of 132 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 25%
Student > Master 18 19%
Student > Ph. D. Student 16 17%
Student > Bachelor 7 8%
Other 7 8%
Other 7 8%
Unknown 15 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 29%
Biochemistry, Genetics and Molecular Biology 23 25%
Computer Science 12 13%
Immunology and Microbiology 3 3%
Medicine and Dentistry 3 3%
Other 4 4%
Unknown 21 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 02 September 2020.
All research outputs
#333,134
of 15,815,292 outputs
Outputs from Genome Biology (Online Edition)
#283
of 3,396 outputs
Outputs of similar age
#12,446
of 329,400 outputs
Outputs of similar age from Genome Biology (Online Edition)
#51
of 290 outputs
Altmetric has tracked 15,815,292 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,396 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done particularly well, scoring higher than 91% 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 329,400 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 96% of its contemporaries.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.