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Microtomography of the Baltic amber tick Ixodes succineus reveals affinities with the modern Asian disease vector Ixodes ovatus

Overview of attention for article published in BMC Evolutionary Biology, October 2016
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters
wikipedia
2 Wikipedia pages

Citations

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6 Dimensions

Readers on

mendeley
27 Mendeley
Title
Microtomography of the Baltic amber tick Ixodes succineus reveals affinities with the modern Asian disease vector Ixodes ovatus
Published in
BMC Evolutionary Biology, October 2016
DOI 10.1186/s12862-016-0777-y
Pubmed ID
Authors

Jason A. Dunlop, Dmitry A. Apanaskevich, Jens Lehmann, René Hoffmann, Florian Fusseis, Moritz Ehlke, Stefan Zachow, Xianghui Xiao

Abstract

Fossil ticks are extremely rare and Ixodes succineus Weidner, 1964 from Eocene (ca. 44-49 Ma) Baltic amber is one of the oldest examples of a living hard tick genus (Ixodida: Ixodidae). Previous work suggested it was most closely related to the modern and widespread European sheep tick Ixodes ricinus (Linneaus, 1758). Restudy using phase contrast synchrotron x-ray tomography yielded images of exceptional quality. These confirm the fossil's referral to Ixodes Latreille, 1795, but the characters resolved here suggest instead affinities with the Asian subgenus Partipalpiger Hoogstraal et al., 1973 and its single living (and medically significant) species Ixodes ovatus Neumann, 1899. We redescribe the amber fossil here as Ixodes (Partipalpiger) succineus. Our data suggest that Ixodes ricinus is unlikely to be directly derived from Weidner's amber species, but instead reveals that the Partipalpiger lineage was originally more widely distributed across the northern hemisphere. The closeness of Ixodes (P.) succineus to a living vector of a wide range of pathogens offers the potential to correlate its spatial and temporal position (northern Europe, nearly 50 million years ago) with the estimated origination dates of various tick-borne diseases.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 26%
Student > Master 5 19%
Researcher 4 15%
Student > Ph. D. Student 4 15%
Lecturer 2 7%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 37%
Biochemistry, Genetics and Molecular Biology 6 22%
Earth and Planetary Sciences 4 15%
Veterinary Science and Veterinary Medicine 1 4%
Environmental Science 1 4%
Other 2 7%
Unknown 3 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 28 December 2016.
All research outputs
#586,634
of 8,830,185 outputs
Outputs from BMC Evolutionary Biology
#231
of 2,078 outputs
Outputs of similar age
#27,735
of 255,321 outputs
Outputs of similar age from BMC Evolutionary Biology
#16
of 78 outputs
Altmetric has tracked 8,830,185 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 2,078 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 88% 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 255,321 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 89% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.