| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Animal Science and Veterinary | 34 | 81 | 139 | 19 |
| Genetics | 123 | 10 | 16 | 6 |
The primary areas of discussion in the journal are Genetics, Animal science, Statistics, Heritability and Selection (genetic algorithm). Genetics studies presented include Gene, Quantitative trait locus, Allele, Genotype and Single-nucleotide polymorphism. Discussions in it are anchored in the subject of Gene and the similar topic of Molecular biology.
The journal focuses on Animal science research which is adjacent to topics in Milk yield. Heritability research discussed connects with the study of Genetic correlation. Most of the works presented in it deals with Breed but it intersects with the subject of Genetic diversity.
The most cited publications aim to foster the development of research in Genetics, Animal science, Heritability, Breed and Statistics. The published articles address concerns in Genetics which are intertwined with other disciplines, such as Inbreeding and Genetic diversity. The published papers address concerns in the field of Statistics by exploring it in line with topics in Selection (genetic algorithm) which intersect with Genetic gain subjects.
Journal of Animal Breeding and Genetics is organized to address concerns in the fields of Animal science, Selection (genetic algorithm), Heritability, Breed and Statistics. The main emphasis of the journal is the subject of Animal science, focusing on Crossbreed. The research on Heritability tackled can also make contributions to studies in the areas of Genetic gain, Genetic correlation, Genetic variation, Maternal effect and Animal model.
Breed research featured in it incorporates concerns from various other topics such as Evolutionary biology, SNP, Single-nucleotide polymorphism, Genetic variability and Inbreeding. Statistics research presented in Journal of Animal Breeding and Genetics encompasses a variety of subjects, including Variance (accounting) and Best linear unbiased prediction. Genome-wide association study research presented falls under the umbrella topic of Genetics.
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 Journal of Animal Breeding and Genetics (based on the number of publications) are:
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 Journal of Animal Breeding and Genetics (based on the number of publications) are:
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.
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, 7.79% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.31% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.49% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.35% of all publications and 40.85% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Yuliaxis Ramayo-Caldas;Laura M. Zingaretti;Milka Popova;Jordi Estellé
(2020)Ludmilla C. Brunes;Ludmilla C. Brunes;Fernando Baldi;Fernando B. Lopes;Raysildo B. Lôbo
(2021)Wellington Bizarria dos Santos;Gustavo Pimenta Schettini;Mayara Gonçalves Fonseca;Guilherme Luis Pereira
(2021)Christian Maltecca;Matteo Bergamaschi;Francesco Tiezzi
(2020)Hadi Atashi;Hadi Atashi;Mazdak Salavati;Jenne De Koster;Jim Ehrlich
(2020)Ramona Weishaar;Robin Wellmann;Amelia Camarinha‐Silva;Markus Rodehutscord
(2020)Alejandro Saborío-Montero;Mónica Gutiérrez-Rivas;Aser García-Rodríguez;Raquel Atxaerandio
(2020)Ignacio Aguilar;Eduardo N. Fernandez;Agustin Blasco;Olga Ravagnolo
(2020)Jian Cheng;Jack C M Dekkers;Rohan L Fernando
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