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Barcoding against a paradox? Combined molecular species delineations reveal multiple cryptic lineages in elusive meiofaunal sea slugs

Overview of attention for article published in BMC Evolutionary Biology, January 2012
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
160 Mendeley
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Title
Barcoding against a paradox? Combined molecular species delineations reveal multiple cryptic lineages in elusive meiofaunal sea slugs
Published in
BMC Evolutionary Biology, January 2012
DOI 10.1186/1471-2148-12-245
Pubmed ID
Authors

Katharina M Jörger, Jon L Norenburg, Nerida G Wilson, Michael Schrödl

Abstract

Many marine meiofaunal species are reported to have wide distributions, which creates a paradox considering their hypothesized low dispersal abilities. Correlated with this paradox is an especially high taxonomic deficit for meiofauna, partly related to a lower taxonomic effort and partly to a high number of putative cryptic species. Molecular-based species delineation and barcoding approaches have been advocated for meiofaunal biodiversity assessments to speed up description processes and uncover cryptic lineages. However, these approaches show sensitivity to sampling coverage (taxonomic and geographic) and the success rate has never been explored on mesopsammic Mollusca.

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Netherlands 1 <1%
France 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Belgium 1 <1%
Unknown 152 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Researcher 29 18%
Student > Master 21 13%
Professor > Associate Professor 17 11%
Student > Bachelor 13 8%
Other 32 20%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 60%
Environmental Science 17 11%
Biochemistry, Genetics and Molecular Biology 16 10%
Computer Science 4 3%
Earth and Planetary Sciences 3 2%
Other 5 3%
Unknown 19 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 November 2020.
All research outputs
#1,074,864
of 12,373,386 outputs
Outputs from BMC Evolutionary Biology
#406
of 2,341 outputs
Outputs of similar age
#13,968
of 141,752 outputs
Outputs of similar age from BMC Evolutionary Biology
#3
of 16 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 82% 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 141,752 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 90% of its contemporaries.
We're also able to compare this research output to 16 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.