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Genome sequence-based species delimitation with confidence intervals and improved distance functions

Overview of attention for article published in BMC Bioinformatics, January 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
twitter
6 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1491 Dimensions

Readers on

mendeley
559 Mendeley
citeulike
2 CiteULike
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Title
Genome sequence-based species delimitation with confidence intervals and improved distance functions
Published in
BMC Bioinformatics, January 2013
DOI 10.1186/1471-2105-14-60
Pubmed ID
Authors

Jan P Meier-Kolthoff, Alexander F Auch, Hans-Peter Klenk, Markus Göker

Abstract

For the last 25 years species delimitation in prokaryotes (Archaea and Bacteria) was to a large extent based on DNA-DNA hybridization (DDH), a tedious lab procedure designed in the early 1970s that served its purpose astonishingly well in the absence of deciphered genome sequences. With the rapid progress in genome sequencing time has come to directly use the now available and easy to generate genome sequences for delimitation of species. GBDP (Genome Blast Distance Phylogeny) infers genome-to-genome distances between pairs of entirely or partially sequenced genomes, a digital, highly reliable estimator for the relatedness of genomes. Its application as an in-silico replacement for DDH was recently introduced. The main challenge in the implementation of such an application is to produce digital DDH values that must mimic the wet-lab DDH values as close as possible to ensure consistency in the Prokaryotic species concept.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 559 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
Denmark 4 <1%
Germany 3 <1%
France 2 <1%
Brazil 2 <1%
South Africa 2 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Other 5 <1%
Unknown 530 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 141 25%
Researcher 114 20%
Student > Master 80 14%
Student > Bachelor 47 8%
Student > Doctoral Student 41 7%
Other 80 14%
Unknown 56 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 229 41%
Biochemistry, Genetics and Molecular Biology 127 23%
Immunology and Microbiology 52 9%
Environmental Science 17 3%
Computer Science 14 3%
Other 32 6%
Unknown 88 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 15 March 2018.
All research outputs
#549,645
of 13,426,363 outputs
Outputs from BMC Bioinformatics
#82
of 4,990 outputs
Outputs of similar age
#6,018
of 144,788 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 24 outputs
Altmetric has tracked 13,426,363 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 4,990 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 144,788 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 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.