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High-throughput bacterial SNP typing identifies distinct clusters of SalmonellaTyphi causing typhoid in Nepalese children

Overview of attention for article published in BMC Infectious Diseases, May 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
144 Mendeley
citeulike
1 CiteULike
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Title
High-throughput bacterial SNP typing identifies distinct clusters of SalmonellaTyphi causing typhoid in Nepalese children
Published in
BMC Infectious Diseases, May 2010
DOI 10.1186/1471-2334-10-144
Pubmed ID
Authors

Kathryn E Holt, Stephen Baker, Sabina Dongol, Buddha Basnyat, Neelam Adhikari, Stephen Thorson, Anoop S Pulickal, Yajun Song, Julian Parkhill, Jeremy J Farrar, David R Murdoch, Dominic F Kelly, Andrew J Pollard, Gordon Dougan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Australia 2 1%
Netherlands 1 <1%
Denmark 1 <1%
Uzbekistan 1 <1%
United States 1 <1%
Unknown 135 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 26 18%
Student > Bachelor 19 13%
Student > Master 16 11%
Student > Postgraduate 8 6%
Other 29 20%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 29%
Medicine and Dentistry 42 29%
Biochemistry, Genetics and Molecular Biology 15 10%
Immunology and Microbiology 6 4%
Nursing and Health Professions 4 3%
Other 16 11%
Unknown 19 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 April 2011.
All research outputs
#5,563,819
of 22,709,015 outputs
Outputs from BMC Infectious Diseases
#1,649
of 7,650 outputs
Outputs of similar age
#26,453
of 95,941 outputs
Outputs of similar age from BMC Infectious Diseases
#13
of 37 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 95,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.