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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
102 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 18 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 102 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%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Researcher 18 18%
Student > Bachelor 17 17%
Student > Master 16 16%
Professor > Associate Professor 4 4%
Other 14 14%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 29%
Biochemistry, Genetics and Molecular Biology 21 21%
Medicine and Dentistry 9 9%
Social Sciences 6 6%
Immunology and Microbiology 6 6%
Other 18 18%
Unknown 12 12%

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 19 February 2020.
All research outputs
#1,775,734
of 15,071,243 outputs
Outputs from BMC Genomics
#831
of 8,621 outputs
Outputs of similar age
#25,322
of 192,455 outputs
Outputs of similar age from BMC Genomics
#1
of 10 outputs
Altmetric has tracked 15,071,243 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 8,621 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% 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 192,455 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 86% of its contemporaries.
We're also able to compare this research output to 10 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