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BorreliaBase: a phylogeny-centered browser of Borrelia genomes

Overview of attention for article published in BMC Bioinformatics, July 2014
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
14 X users
facebook
5 Facebook pages

Citations

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33 Dimensions

Readers on

mendeley
78 Mendeley
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Title
BorreliaBase: a phylogeny-centered browser of Borrelia genomes
Published in
BMC Bioinformatics, July 2014
DOI 10.1186/1471-2105-15-233
Pubmed ID
Authors

Lia Di, Pedro E Pagan, Daniel Packer, Che L Martin, Saymon Akther, Girish Ramrattan, Emmanuel F Mongodin, Claire M Fraser, Steven E Schutzer, Benjamin J Luft, Sherwood R Casjens, Wei-Gang Qiu

Abstract

The bacterial genus Borrelia (phylum Spirochaetes) consists of two groups of pathogens represented respectively by B. burgdorferi, the agent of Lyme borreliosis, and B. hermsii, the agent of tick-borne relapsing fever. The number of publicly available Borrelia genomic sequences is growing rapidly with the discovery and sequencing of Borrelia strains worldwide. There is however a lack of dedicated online databases to facilitate comparative analyses of Borrelia genomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 3 4%
Lithuania 1 1%
Russia 1 1%
Netherlands 1 1%
Unknown 68 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 27%
Student > Master 11 14%
Student > Ph. D. Student 9 12%
Student > Doctoral Student 6 8%
Student > Bachelor 5 6%
Other 11 14%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 28%
Biochemistry, Genetics and Molecular Biology 14 18%
Immunology and Microbiology 7 9%
Medicine and Dentistry 5 6%
Computer Science 3 4%
Other 10 13%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 October 2022.
All research outputs
#3,471,491
of 24,180,797 outputs
Outputs from BMC Bioinformatics
#1,224
of 7,508 outputs
Outputs of similar age
#34,075
of 232,180 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 147 outputs
Altmetric has tracked 24,180,797 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,508 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% 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 232,180 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 147 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.