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Genome characterisation of the genus Francisella reveals insight into similar evolutionary paths in pathogens of mammals and fish

Overview of attention for article published in BMC Genomics, June 2012
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
2 X users
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
119 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
1 CiteULike
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Title
Genome characterisation of the genus Francisella reveals insight into similar evolutionary paths in pathogens of mammals and fish
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-268
Pubmed ID
Authors

Andreas Sjödin, Kerstin Svensson, Caroline Öhrman, Jon Ahlinder, Petter Lindgren, Samuel Duodu, Anders Johansson, Duncan J Colquhoun, Pär Larsson, Mats Forsman

Abstract

Prior to this study, relatively few strains of Francisella had been genome-sequenced. Previously published Francisella genome sequences were largely restricted to the zoonotic agent F. tularensis. Only limited data were available for other members of the Francisella genus, including F. philomiragia, an opportunistic pathogen of humans, F. noatunensis, a serious pathogen of farmed fish, and other less well described endosymbiotic species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Chile 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 25%
Researcher 26 22%
Student > Bachelor 13 11%
Student > Master 12 10%
Professor > Associate Professor 7 6%
Other 16 13%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 47%
Biochemistry, Genetics and Molecular Biology 16 13%
Immunology and Microbiology 9 8%
Veterinary Science and Veterinary Medicine 5 4%
Medicine and Dentistry 5 4%
Other 9 8%
Unknown 20 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 October 2019.
All research outputs
#4,835,157
of 25,371,288 outputs
Outputs from BMC Genomics
#1,877
of 11,244 outputs
Outputs of similar age
#31,654
of 177,751 outputs
Outputs of similar age from BMC Genomics
#20
of 159 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 177,751 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 81% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.