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Comparative genome and phenotypic analysis of Clostridium difficile 027 strains provides insight into the evolution of a hypervirulent bacterium

Overview of attention for article published in Genome Biology, September 2009
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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 (97th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
1 X user
patent
9 patents

Citations

dimensions_citation
404 Dimensions

Readers on

mendeley
358 Mendeley
citeulike
7 CiteULike
connotea
2 Connotea
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Title
Comparative genome and phenotypic analysis of Clostridium difficile 027 strains provides insight into the evolution of a hypervirulent bacterium
Published in
Genome Biology, September 2009
DOI 10.1186/gb-2009-10-9-r102
Pubmed ID
Authors

Richard A Stabler, Miao He, Lisa Dawson, Melissa Martin, Esmeralda Valiente, Craig Corton, Trevor D Lawley, Mohammed Sebaihia, Michael A Quail, Graham Rose, Dale N Gerding, Maryse Gibert, Michel R Popoff, Julian Parkhill, Gordon Dougan, Brendan W Wren

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
United Kingdom 2 <1%
Ireland 2 <1%
Colombia 1 <1%
France 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Chile 1 <1%
Sweden 1 <1%
Other 2 <1%
Unknown 342 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 23%
Researcher 70 20%
Student > Master 51 14%
Student > Bachelor 38 11%
Student > Doctoral Student 19 5%
Other 56 16%
Unknown 40 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 134 37%
Biochemistry, Genetics and Molecular Biology 65 18%
Immunology and Microbiology 55 15%
Medicine and Dentistry 20 6%
Pharmacology, Toxicology and Pharmaceutical Science 8 2%
Other 25 7%
Unknown 51 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 17 November 2022.
All research outputs
#1,267,946
of 25,374,917 outputs
Outputs from Genome Biology
#971
of 4,467 outputs
Outputs of similar age
#3,490
of 106,091 outputs
Outputs of similar age from Genome Biology
#1
of 34 outputs
Altmetric has tracked 25,374,917 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 4,467 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 78% 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 106,091 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 34 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 97% of its contemporaries.