↓ Skip to main content

Genomic blueprint of a relapsing fever pathogen in 15th century Scandinavia

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, September 2018
Altmetric Badge

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 (81st percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
policy
1 policy source
twitter
63 X users
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genomic blueprint of a relapsing fever pathogen in 15th century Scandinavia
Published in
Proceedings of the National Academy of Sciences of the United States of America, September 2018
DOI 10.1073/pnas.1807266115
Pubmed ID
Authors

Meriam Guellil, Oliver Kersten, Amine Namouchi, Egil L Bauer, Michael Derrick, Anne Ø Jensen, Nils C Stenseth, Barbara Bramanti

Abstract

Louse-borne relapsing fever (LBRF) is known to have killed millions of people over the course of European history and remains a major cause of mortality in parts of the world. Its pathogen, Borrelia recurrentis, shares a common vector with global killers such as typhus and plague and is known for its involvement in devastating historical epidemics such as the Irish potato famine. Here, we describe a European and historical genome of Brecurrentis, recovered from a 15th century skeleton from Oslo. Our distinct European lineage has a discrete genomic makeup, displaying an ancestral oppA-1 gene and gene loss in antigenic variation sites. Our results illustrate the potential of ancient DNA research to elucidate dynamics of reductive evolution in a specialized human pathogen and to uncover aspects of human health usually invisible to the archaeological record.

X Demographics

X Demographics

The data shown below were collected from the profiles of 63 X users 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Student > Ph. D. Student 6 12%
Professor 5 10%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 9 18%
Unknown 17 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 3 6%
Unspecified 2 4%
Arts and Humanities 2 4%
Other 8 16%
Unknown 21 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 01 August 2020.
All research outputs
#480,296
of 24,622,191 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#8,569
of 101,438 outputs
Outputs of similar age
#10,663
of 345,687 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#177
of 957 outputs
Altmetric has tracked 24,622,191 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 91% 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 345,687 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 957 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.