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The Murray collection of pre-antibiotic era Enterobacteriacae: a unique research resource

Overview of attention for article published in Genome Medicine, September 2015
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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 (91st percentile)

Mentioned by

twitter
41 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
2 CiteULike
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Title
The Murray collection of pre-antibiotic era Enterobacteriacae: a unique research resource
Published in
Genome Medicine, September 2015
DOI 10.1186/s13073-015-0222-7
Pubmed ID
Authors

Kate S. Baker, Edward Burnett, Hannah McGregor, Ana Deheer-Graham, Christine Boinett, Gemma C. Langridge, Alexander M. Wailan, Amy K. Cain, Nicholas R. Thomson, Julie E. Russell, Julian Parkhill

Abstract

Studies of historical isolates inform on the evolution and emergence of important pathogens and phenotypes, including antimicrobial resistance. Crucial to studying antimicrobial resistance are isolates that predate the widespread clinical use of antimicrobials. The Murray collection of several hundred bacterial strains of pre-antibiotic era Enterobacteriaceae is an invaluable resource of historical strains from important pathogen groups. Studies performed on the Collection to date merely exemplify its potential, which will only be realised through the continued effort of many scientific groups. To enable that aim, we announce the public availability of the Murray collection through the National Collection of Type Cultures, and present associated metadata with whole genome sequence data for over half of the strains. Using this information we verify the metadata for the collection with regard to subgroup designations, equivalence groupings and plasmid content. We also present genomic analyses of population structure and determinants of mobilisable antimicrobial resistance to aid strain selection in future studies. This represents an invaluable public resource for the study of these important pathogen groups and the emergence and evolution of antimicrobial resistance.

Twitter Demographics

The data shown below were collected from the profiles of 41 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 34%
Student > Ph. D. Student 10 17%
Student > Bachelor 5 9%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 3 5%
Unknown 13 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 31%
Biochemistry, Genetics and Molecular Biology 11 19%
Medicine and Dentistry 5 9%
Immunology and Microbiology 5 9%
Nursing and Health Professions 2 3%
Other 5 9%
Unknown 12 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 2021.
All research outputs
#1,206,521
of 19,293,994 outputs
Outputs from Genome Medicine
#268
of 1,280 outputs
Outputs of similar age
#21,111
of 260,123 outputs
Outputs of similar age from Genome Medicine
#1
of 2 outputs
Altmetric has tracked 19,293,994 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,280 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has done well, scoring higher than 79% 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 260,123 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 91% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them