Evidence map›Paper›PMID 32908590›Full record

ArticleEvolutionary applications2020

Fine-scale seascape genomics of an exploited marine species, the common cockle

Ilaria Coscia, Sophie B Wilmes, Joseph E Ironside, Alice Goward-Brown, Enda O'Dea, Shelagh K Malham, Allan D McDevitt, Peter E Robins

Abstract read
In one paragraph

Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Population genomics of the basket cockleEvolutionary applications · 2022
    Article
  15. Genomic survey of edible cockle (Evolutionary applications · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Ilaria CosciaEcosystems and Environment Research Centre School of Science, Engineering and Environment University of Salford Salford UK.ORCID https://orcid.org/0000-0001-5768-4675
Sophie B WilmesSchool of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK.
Joseph E IronsideInstitute of Biological, Environmental and Rural Sciences Aberystwyth University, Penglais Aberystwyth UK.
Alice Goward-BrownSchool of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK.
Enda O'DeaMet Office Exeter UK.
Shelagh K MalhamSchool of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK.
Allan D McDevittEcosystems and Environment Research Centre School of Science, Engineering and Environment University of Salford Salford UK.
Peter E RobinsSchool of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population dynamics of marine species that are sessile as adults are driven by oceanographic dispersal of larvae from spawning to nursery grounds. This is mediated by life-history traits such as the timing and frequency of spawning, larval behaviour and duration, and settlement success. Here, we use 1725 single nucleotide polymorphisms (SNPs) to study the fine-scale spatial genetic structure in the commercially important cockle species

Indexed as

Irish Sealarval dispersalparticle trackingpopulation connectivityRADseqredundancy analysis

Identifiers

PMID32908590
PMCPMC7463313

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.