Evidence map›Paper›PMID 38049712›Full record

ArticleGenetics, selection, evolution : GSE2023

Impact of population structure in the estimation of recent historical effective population size by the software GONE.

Irene Novo, Pilar Ordás, Natalia Moraga, Enrique Santiago, Humberto Quesada, Armando Caballero

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Recent population history in Swedish cattle breeds.Genetics, selection, evolution : GSE · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    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

6 authors.

Irene NovoCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain. irene.novo.gimenez@uvigo.gal.ORCID http://orcid.org/0000-0001-7187-1872
Pilar OrdásCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.
Natalia MoragaCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.
Enrique SantiagoDepartamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, 33006, Oviedo, Spain.
Humberto QuesadaCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.
Armando CaballeroCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.

Funding

Ministerio de Ciencia e Innovación and Xunta de Galicia with funding from the European Union NextGenerationEU (PRTR-C17.I1) and European Maritime and Fisheries Fund Marine Science Programme (ThinkInAzul)Ministerio de Ciencia e Innovación (MCIN/AEI/10.13039/501100011033) PID2020-114426GB-C21Ministerio de Ciencia, Innovación y Universidades FPU18/04642Xunta de Galicia ED431C 2020-05, Centro singular de investigación de Galicia accreditation 2019-2022 and "ERDF A way of making Europe"
6 · The paper itself

Abstract

backgroundEffective population size (N

resultsOur results indicate that the estimates of historical N

conclusionsDifferent kinds of deviations from isolation and panmixia of the populations can generate biases in the recent historical estimates of N

Indexed as

Chromosome InversionSoftwareAnimalsComputer SimulationGenetics, PopulationHumansPopulation Density

Identifiers

PMID38049712
PMCPMC10694967

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.