Evidence map›Paper›PMID 29043022›Full record

ArticleEcology and evolution2017

Using genetic tools to estimate the prevalence of non-native red deer (

Alain C Frantz, Frank E Zachos, Sabine Bertouille, Marie-Christine Eloy, Marc Colyn, Marie-Christine Flamand

Abstract read
In one paragraph

Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Alain C FrantzMusée National d'Histoire Naturelle Luxembourg Luxembourg.ORCID 0000-0002-5481-7142
Frank E ZachosNatural History Museum Vienna Vienna Austria.
Sabine BertouilleDépartement de l'Etude du Milieu naturel et agricole Service Public de Wallonie Gembloux Belgium.
Marie-Christine EloyInstitut des Sciences de la Vie Université catholique de Louvain Louvain-la-Neuve Belgium.
Marc ColynCNRS-UMR 6553 Université de Rennes 1 Paimpont France.
Marie-Christine FlamandInstitut des Sciences de la Vie Université catholique de Louvain Louvain-la-Neuve Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Game species like the red deer have been subjected to anthropogenic impacts for centuries. Translocations are often carried out-sometimes illegally-not only for sporting purposes, but also to increase trophy quality, reduce inbreeding, or mitigate bottlenecks after excessive persecution. Apart from the blurring of large-scale genetic structure, translocations without adequate quarantine measure risk introducing pathogens into potentially immunologically naïve populations. It is therefore important to understand the frequency of clandestine translocations. Identification of non-autochthonous animals and their potential origin is often difficult and, in red deer, has been hampered by the lack of large-scale genotypic datasets for comparison. In the present study, we make use of a recently published European-wide microsatellite dataset to detect and quantify the presence of non-autochthonous red deer in a large population sample (

Indexed as

anthropogenic impactmicrosatellitesnon‐autochthonous animalswildlife forensicswildlife management

Identifiers

PMID29043022
PMCPMC5632609

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.