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Metabarcoding for the parallel identification of several hundred predators and their prey: Application to bat species diet analysis

Overview of attention for article published in Molecular Ecology Resources, January 2018
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
18 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
324 Mendeley
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Article details
Title
Metabarcoding for the parallel identification of several hundred predators and their prey: Application to bat species diet analysis
Published in
Molecular Ecology Resources, January 2018
DOI 10.1111/1755-0998.12749
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 324 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 70 22%
Researcher 55 17%
Student > Master 48 15%
Student > Bachelor 30 9%
Other 16 5%
Other 32 10%
Unknown 73 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 125 39%
Environmental Science 53 16%
Biochemistry, Genetics and Molecular Biology 42 13%
Veterinary Science and Veterinary Medicine 3 <1%
Earth and Planetary Sciences 3 <1%
Other 16 5%
Unknown 82 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 May 2021.
All research outputs
#3,465,794
of 33,169,879 outputs
Outputs from Molecular Ecology Resources
#405
of 2,067 outputs
Outputs of similar age
#60,693
of 484,357 outputs
Outputs of similar age from Molecular Ecology Resources
#8
of 34 outputs
Altmetric has tracked 33,169,879 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,067 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 80% 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 484,357 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 87% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.