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Benchmarking of alignment-free sequence comparison methods

Overview of attention for article published in Genome Biology, July 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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
58 X users
patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
245 Mendeley
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Title
Benchmarking of alignment-free sequence comparison methods
Published in
Genome Biology, July 2019
DOI 10.1186/s13059-019-1755-7
Pubmed ID
Authors

Andrzej Zielezinski, Hani Z. Girgis, Guillaume Bernard, Chris-Andre Leimeister, Kujin Tang, Thomas Dencker, Anna Katharina Lau, Sophie Röhling, Jae Jin Choi, Michael S. Waterman, Matteo Comin, Sung-Hou Kim, Susana Vinga, Jonas S. Almeida, Cheong Xin Chan, Benjamin T. James, Fengzhu Sun, Burkhard Morgenstern, Wojciech M. Karlowski

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 245 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 23%
Researcher 44 18%
Student > Master 23 9%
Student > Bachelor 23 9%
Student > Doctoral Student 12 5%
Other 35 14%
Unknown 52 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 72 29%
Agricultural and Biological Sciences 45 18%
Computer Science 32 13%
Immunology and Microbiology 6 2%
Medicine and Dentistry 4 2%
Other 22 9%
Unknown 64 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 April 2024.
All research outputs
#1,115,243
of 25,836,587 outputs
Outputs from Genome Biology
#795
of 4,523 outputs
Outputs of similar age
#23,297
of 360,458 outputs
Outputs of similar age from Genome Biology
#14
of 68 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 82% 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 360,458 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 93% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.