Evidence map›Paper›PMID 28428839›Full record

ArticleEcology and evolution2017

Population genomics meet Lagrangian simulations: Oceanographic patterns and long larval duration ensure connectivity among

Marta Paterno, Marcello Schiavina, Giorgio Aglieri, Jamila Ben Souissi, Elisa Boscari, Renato Casagrandi, Aurore Chassanite, Mariachiara Chiantore, Leonardo Congiu, Giuseppe Guarnieri and 7 more

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.

  1. Article
  2. The More the Better: Genetic Monitoring ofAnimals : an open access journal from MDPI · 2025
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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

17 authors.

Marta PaternoDepartment of Biology University of Padova Padova Italy.
Marcello SchiavinaConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Giorgio AglieriConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Jamila Ben SouissiInstitut National Agronomique de Tunisie (INAT) Tunis Tunisia.
Elisa BoscariDepartment of Biology University of Padova Padova Italy.
Renato CasagrandiConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Aurore ChassaniteUSR 3278 CNRS-EPHE CRIOBE Université de Perpignan Via Dominitia Perpignan Cedex France.
Mariachiara ChiantoreConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Leonardo CongiuDepartment of Biology University of Padova Padova Italy.
Giuseppe GuarnieriConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Claudia KruschelUniversity of Zadar Zadar Croatia.
Vesna MacicInstitute of Marine Biology Kotor (IBMK) Kotor Montenegro.
Ilaria A M MarinoDepartment of Biology University of Padova Padova Italy.
Chiara PapettiDepartment of Biology University of Padova Padova Italy.
Tomaso PatarnelloConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Lorenzo ZaneDepartment of Biology University of Padova Padova Italy.ORCID 0000-0002-6963-2132
Paco MeliàConsorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Connectivity between populations influences both their dynamics and the genetic structuring of species. In this study, we explored connectivity patterns of a marine species with long-distance dispersal, the edible common sea urchin

Indexed as

2b‐RADbiophysical modelspopulation genomicsseascape geneticssea urchinSNPs

Identifiers

PMID28428839
PMCPMC5395429

What OpenQuestion holds

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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.