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ednaoccupancy: An r package for multiscale occupancy modelling of environmental DNA data

Overview of attention for article published in Molecular Ecology Resources, December 2017
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  • 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 (85th percentile)

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33 X users

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283 Mendeley
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Title
ednaoccupancy: An r package for multiscale occupancy modelling of environmental DNA data
Published in
Molecular Ecology Resources, December 2017
DOI 10.1111/1755-0998.12735
Pubmed ID
Authors

Robert M. Dorazio, Richard A. Erickson

Abstract

In this article we describe eDNAoccupancy, an R package for fitting Bayesian, multi-scale occupancy models. These models are appropriate for occupancy surveys that include three, nested levels of sampling: primary sample units within a study area, secondary sample units collected from each primary unit, and replicates of each secondary sample unit. This design is commonly used in occupancy surveys of environmental DNA (eDNA). eDNAoccupancy allows users to specify and fit multi-scale occupancy models with or without covariates, to estimate posterior summaries of occurrence and detection probabilities, and to compare different models using Bayesian model-selection criteria. We illustrate these features by analyzing two published data sets: eDNA surveys of a fungal pathogen of amphibians and eDNA surveys of an endangered fish species. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 283 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 24%
Researcher 60 21%
Student > Master 42 15%
Student > Bachelor 19 7%
Other 14 5%
Other 28 10%
Unknown 52 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 38%
Environmental Science 57 20%
Biochemistry, Genetics and Molecular Biology 32 11%
Earth and Planetary Sciences 5 2%
Engineering 4 1%
Other 14 5%
Unknown 63 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 16 August 2022.
All research outputs
#2,036,807
of 25,628,260 outputs
Outputs from Molecular Ecology Resources
#289
of 1,968 outputs
Outputs of similar age
#44,101
of 446,549 outputs
Outputs of similar age from Molecular Ecology Resources
#4
of 21 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 85% 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 446,549 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 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.