Evidence map›Paper›PMID 30697339›Full record

ArticleEvolutionary applications2019

Complex problems need detailed solutions: Harnessing multiple data types to inform genetic management in the wild.

Catherine E Grueber, Samantha Fox, Elspeth A McLennan, Rebecca M Gooley, David Pemberton, Carolyn J Hogg, Katherine Belov

Abstract read
In one paragraph

Article in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  7. Darwin, the devil, and the management of transmissible cancers.Conservation biology : the journal of the Society for Conservation Biology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Catherine E GrueberFaculty of Science, School of Life and Environmental Sciences The University of Sydney Sydney New South Wales Australia.ORCID 0000-0002-8179-1822
Samantha FoxSave the Tasmanian Devil Program DPIPWE Hobart Tasmania Australia.
Elspeth A McLennanFaculty of Science, School of Life and Environmental Sciences The University of Sydney Sydney New South Wales Australia.
Rebecca M GooleyFaculty of Science, School of Life and Environmental Sciences The University of Sydney Sydney New South Wales Australia.
David PembertonSave the Tasmanian Devil Program DPIPWE Hobart Tasmania Australia.
Carolyn J HoggFaculty of Science, School of Life and Environmental Sciences The University of Sydney Sydney New South Wales Australia.ORCID 0000-0002-6328-398X
Katherine BelovFaculty of Science, School of Life and Environmental Sciences The University of Sydney Sydney New South Wales Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For bottlenecked populations of threatened species, supplementation often leads to improved population metrics (genetic rescue), provided that guidelines can be followed to avoid negative outcomes. In cases where no "ideal" source populations exist, or there are other complicating factors such as prevailing disease, the benefit of supplementation becomes uncertain. Bringing multiple data and analysis types together to plan genetic management activities can help. Here, we consider three populations of Tasmanian devil,

Indexed as

AlleleRetaingenetic rescuemajor histocompatibility complexmicrosatellitesstochastic population modellingTasmanian deviltranslocation

Identifiers

PMID30697339
PMCPMC6346650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.