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Mycobacterium leprae genomes from a British medieval leprosy hospital: towards understanding an ancient epidemic

Overview of attention for article published in BMC Genomics, January 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 (87th percentile)

Mentioned by

twitter
17 tweeters
facebook
1 Facebook page

Citations

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29 Dimensions

Readers on

mendeley
90 Mendeley
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Title
Mycobacterium leprae genomes from a British medieval leprosy hospital: towards understanding an ancient epidemic
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-270
Pubmed ID
Authors

Tom A Mendum, Verena J Schuenemann, Simon Roffey, G Taylor, Huihai Wu, Pushpendra Singh, Katie Tucker, Jason Hinds, Stewart T Cole, Andrzej M Kierzek, Kay Nieselt, Johannes Krause, Graham R Stewart

Abstract

Leprosy has afflicted humankind throughout history leaving evidence in both early texts and the archaeological record. In Britain, leprosy was widespread throughout the Middle Ages until its gradual and unexplained decline between the 14th and 16th centuries. The nature of this ancient endemic leprosy and its relationship to modern strains is only partly understood. Modern leprosy strains are currently divided into 5 phylogenetic groups, types 0 to 4, each with strong geographical links. Until recently, European strains, both ancient and modern, were thought to be exclusively type 3 strains. However, evidence for type 2 strains, a group normally associated with Central Asia and the Middle East, has recently been found in archaeological samples in Scandinavia and from two skeletons from the medieval leprosy hospital (or leprosarium) of St Mary Magdalen, near Winchester, England.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United Kingdom 1 1%
United States 1 1%
Unknown 86 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 18 20%
Student > Master 16 18%
Student > Bachelor 15 17%
Unspecified 8 9%
Other 15 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 33%
Biochemistry, Genetics and Molecular Biology 19 21%
Unspecified 10 11%
Medicine and Dentistry 8 9%
Arts and Humanities 5 6%
Other 18 20%

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 22 September 2018.
All research outputs
#1,673,959
of 13,607,245 outputs
Outputs from BMC Genomics
#856
of 7,927 outputs
Outputs of similar age
#26,386
of 190,428 outputs
Outputs of similar age from BMC Genomics
#1
of 8 outputs
Altmetric has tracked 13,607,245 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,927 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 190,428 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 8 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