Evidence map›Paper›PMID 31569787›Full record

ArticleGenes2019

A Useful SNP Panel to Distinguish Two Cockle Species,

Francesco Maroso, Celia Pérez de Gracia, David Iglesias, Asunción Cao, Seila Díaz, Antonio Villalba, Manuel Vera, Paulino Martínez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2019. 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. Article
  3. Article
  4. Article
  5. Article
  6. Genomic survey of edible cockle (Evolutionary applications · 2022
    Article
  7. Article
  8. Article
  9. 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.

Francesco MarosoDepartment of Zoology, Genetics and Physical Anthropology, ACUIGEN Group, Faculty of Veterinary, Universidade de Santiago de Compostela, Campus of Lugo, 27002 Lugo, Spain.
Celia Pérez de GraciaDepartment of Zoology, Genetics and Physical Anthropology, ACUIGEN Group, Faculty of Veterinary, Universidade de Santiago de Compostela, Campus of Lugo, 27002 Lugo, Spain.
David IglesiasCentro de Investigacións Mariñas (CIMA), Consellería do Mar, Xunta de Galicia, 36620 Vilanova de Arousa, Spain.
Asunción CaoCentro de Investigacións Mariñas (CIMA), Consellería do Mar, Xunta de Galicia, 36620 Vilanova de Arousa, Spain.
Seila DíazDepartment of Zoology, Genetics and Physical Anthropology, Mobile Genomes and Disease Group, CIMUS, Universidade de Santiago de Compostela, Campus of Santiago de Compostela, 15706 Santiago de Compostela, Spain.
Antonio VillalbaCentro de Investigacións Mariñas (CIMA), Consellería do Mar, Xunta de Galicia, 36620 Vilanova de Arousa, Spain.
Manuel VeraDepartment of Zoology, Genetics and Physical Anthropology, ACUIGEN Group, Faculty of Veterinary, Universidade de Santiago de Compostela, Campus of Lugo, 27002 Lugo, Spain. manuel.vera@usc.es.
Paulino MartínezDepartment of Zoology, Genetics and Physical Anthropology, ACUIGEN Group, Faculty of Veterinary, Universidade de Santiago de Compostela, Campus of Lugo, 27002 Lugo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cockles are highly appreciated mollusks and provide important services in coastal areas. The two European species, edible (

Indexed as

Polymorphism, Single NucleotideAnimalsCardiidaeDisease ResistanceDNA Barcoding, TaxonomicHybridization, GeneticRhizariaRNA, RibosomalRNA, Ribosomal2b–RADcocklesdiagnostic SNPshybridsNew Generation Sequencing (NGS)SNaPshotwildlife forensic

Identifiers

PMID31569787
PMCPMC6826453

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.