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Genetics, Selection, Evolution
H-index 29

Genetics, Selection, Evolution

0999-193X

Published by: Springer

https://gsejournal.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 41 46 95 24

Additional Metrics

Number of Best Scientists*: 171
Documents by Best Scientists*: 268
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 91
SCIMAGO SJR: 0.903
Impact Factor: 3.1

Overview

Top Research Topics at Genetics Selection Evolution?

The objective of the journal is to combine knowledge in the areas of Genetics, Selection (genetic algorithm), Evolutionary biology, Full article and Quantitative trait locus. Genetics study tackled is connected to the field of Statistics. It links adjacent topics like Statistics with Best linear unbiased prediction.

In addition to Selection (genetic algorithm) research, it aims to explore topics under Bioinformatics, Biotechnology, Inbreeding, Heritability and Computational biology. While Biotechnology is the focus of it, it also provided insights into the studies of Agriculture and Animal science. The study on Evolutionary biology presented in it intersects with the topics under Population genetics.

It aims to form a more comprehensive understanding of the field by integrating disciplines like Full article and Humanities. Topics in Quantitative trait locus were tackled in line with various other fields like Genome-wide association study, Quantitative genetics, Linkage disequilibrium, Genetic association and Candidate gene. Research in Single-nucleotide polymorphism discussed is concerned with the study of Genotype as a whole.

  • Genetics (34.05%)
  • Selection (genetic algorithm) (33.91%)
  • Evolutionary biology (22.63%)

What are the most cited papers published in the journal?

  • A review on SNP and other types of molecular markers and their use in animal genetics (792 citations)
  • Sire evaluation for ordered categorical data with a threshold model (525 citations)
  • Genomic prediction when some animals are not genotyped (465 citations)

Research areas of the most cited articles at Genetics Selection Evolution:

The main points discussed in the most cited publications deal with Genetics, Quantitative trait locus, Selection (genetic algorithm), Statistics and Evolutionary biology. Issues in Quantitative trait locus were discussed in the published papers, taking into consideration concepts from other disciplines like Genome-wide association study, Linkage disequilibrium, Genotype, Gene mapping and Candidate gene. The featured Selection (genetic algorithm) studies in the journal publications mainly concentrate on Biotechnology but also cover areas of interest in Animal science.

What topics the last edition of the journal is best known for?

  • Gene
  • Statistics
  • Genetics

The previous edition focused in particular on these issues:

The primary areas of discussion in Genetics Selection Evolution are Single-nucleotide polymorphism, Genetics, Selection (genetic algorithm), Evolutionary biology and Statistics. The concepts on Single-nucleotide polymorphism presented in the journal can also apply to other research fields, including Breed and Allele. The Selection (genetic algorithm) research presented in the journal explores the relationship between Inbreeding and the closely related topic of Linkage disequilibrium, Livestock and Selective breeding.

It holds forums on Evolutionary biology that merges themes from other disciplines such as Genetic diversity, Genome, Angus cattle, Introgression and Domestication. The studies on Statistics discussed can also contribute to research in the domains of Genetic variability, Best linear unbiased prediction and Correlation. Aside from discussions in Candidate gene, Genetics Selection Evolution also deals with the subject of Genetic variation which intersects with Heritability disciplines.

The most cited articles from the last journal are:

  • No evidence that selection for egg production persistency causes loss of bone quality in laying hens (6 citations)
  • A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species. (3 citations)
  • Predicting the accuracy of genomic predictions (2 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Genetics Selection Evolution (based on the number of publications) are:

  • Theo H E Meuwissen (54 papers) absent at the last edition,
  • Piter Bijma (47 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Mario P. L. Calus (46 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Jack C. M. Dekkers (45 papers) published 4 papers at the last edition,
  • Daniel Gianola (40 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Genetics Selection Evolution (based on the number of publications) are:

  • Institut national de la recherche agronomique (275 papers) absent at the last edition,
  • Wageningen University and Research Centre (137 papers) published 3 papers at the last edition, 10 less than at the previous edition,
  • University of Edinburgh (108 papers) published 10 papers at the last edition the same number as at the previous edition,
  • Iowa State University (82 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • Aarhus University (80 papers) published 7 papers at the last edition, 4 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.65% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.48% of all publications and 18.18% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • On the origin of European sheep as revealed by the diversity of the Balkan breeds and by optimizing population-genetic analysis tools

    Elena Ciani;Salvatore Mastrangelo;Anne Da Silva;Fabio Marroni

    (2020)
    124 Citations
  • Beyond large-effect loci: large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon

    Marion Sinclair-Waters;Jørgen Ødegård;Sven Arild Korsvoll;Thomas Moen

    (2020)
    115 Citations
  • The genetic heritage of Alpine local cattle breeds using genomic SNP data

    Gabriele Senczuk;Salvatore Mastrangelo;Elena Ciani;Luca Battaglini

    (2020)
    73 Citations
  • Genomic dissection of maternal, additive and non-additive genetic effects for growth and carcass traits in Nile tilapia.

    Rajesh Joshi;Theodorus Meuwissen;John Arthur Woolliams;John Arthur Woolliams;Hans Magnus Gjøen

    (2020)
    66 Citations
  • Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds.

    Irene van den Berg;Ruidong Xiang;Janez Jenko;Hubert Pausch

    (2020)
    52 Citations
  • The value of genomic relationship matrices to estimate levels of inbreeding.

    Beatriz Villanueva;Almudena Fernández;María Saura;Armando Caballero

    (2021)
    46 Citations
  • Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle

    Zexi Cai;Magdalena Dusza;Bernt Guldbrandtsen;Mogens Sandø Lund

    (2020)
    43 Citations
  • Variants at the ASIP locus contribute to coat color darkening in Nellore cattle.

    Beatriz B. Trigo;Beatriz B. Trigo;Adam T. H. Utsunomiya;Alvaro A. A. D. Fortunato;Alvaro A. A. D. Fortunato;Marco Milanesi;Marco Milanesi

    (2021)
    41 Citations
  • A systems biology framework integrating GWAS and RNA-seq to shed light on the molecular basis of sperm quality in swine

    Marta Gòdia;Antonio Reverter;Rayner González-Prendes;Yuliaxis Ramayo-Caldas

    (2020)
    40 Citations

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