Evidence map›Paper›PMID 28303189›Full record

ArticleEcology and evolution2017

Islands within an island: Population genetic structure of the endemic Sardinian newt,

Sarah E Ball, Stefano Bovero, Giuseppe Sotgiu, Giulia Tessa, Claudio Angelini, Jon Bielby, Christopher Durrant, Marco Favelli, Enrico Gazzaniga, Trenton W J Garner

Open access · goldAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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

10 authors at 2 institutions in 2 countries.

Sarah E BallInstitute of Zoology The Zoological Society of London London UK.
Stefano BoveroZirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
Giuseppe SotgiuZirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
Giulia TessaZirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation SassariItaly; Dipartimento di Scienze della Vita e Biologia dei Sistemi Universita degli Studi di Torino Torino Italy.
Claudio AngeliniZirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
Jon BielbyInstitute of ZoologyThe Zoological Society of London London UK; Zirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
Christopher DurrantInstitute of Zoology The Zoological Society of London London UK.
Marco FavelliZirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
Enrico GazzanigaZirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
Trenton W J GarnerInstitute of ZoologyThe Zoological Society of London London UK; Zirichiltaggi S. W. C. Non-profit Association for Wildlife Conservation Sassari Italy.
University of Sassari · ITZoological Society of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of historic and contemporary barriers to dispersal is central to the conservation of endangered amphibians, but may be hindered by their complex life history and elusive nature. The complementary information generated by mitochondrial (mtDNA) and microsatellite markers generates a valuable tool in elucidating population structure and the impact of habitat fragmentation. We applied this approach to the study of an endangered montane newt,

Indexed as

Euproctusgenetic structureMediterranean island endemicmitochondria microsatellite discordance

Identifiers

PMID28303189
PMCPMC5306002
OpenAlexW2582008024

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.