| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Genetics | 20 | 421 | 461 | 37 |
Genetics, Gene, DNA microarray, Genome and Transcriptome are among the topics commonly tackled in the journal. Gene expression profiling, Genomics, Regulation of gene expression, DNA sequencing and Single-nucleotide polymorphism are Genetics topics of special interest in BMC Genomics. The work on Single-nucleotide polymorphism presented in the journal focuses on Genome-wide association study in particular.
It focuses on Gene as well as the interrelated topic of Cell biology. The journal deals with DNA microarray in conjunction with Proteomics and similar fields in Proteome. Topics in Genome explored in the journal were investigated in conjunction with research in Evolutionary biology, Phylogenetics and Phylogenetic tree.
The study on Transcriptome presented in it intersects with the topics under Botany. The study on Gene expression presented is investigated in conjunction with research in Molecular biology. The journal connects the study in Candidate gene with the closely related area of Quantitative trait locus.
Genetics, Gene, Genome, DNA microarray and Gene expression profiling are the main subjects of interest in the journal articles. The journal papers link adjacent topics like Genetics with Computational biology. The study of DNA microarray in the journal publications encompasses disciplines such as Proteomics, as well as fields such as Proteome, all of which overlap with one another.
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 BMC Genomics (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 BMC Genomics (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, 4.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.39% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.41% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.39% of all publications and 65.81% 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.
Joseph Bergenstråhle;Ludvig Larsson;Joakim Lundeberg
(2020)Ellen Freebern;Daniel J. A. Santos;Lingzhao Fang;Lingzhao Fang;Jicai Jiang
(2020)Richard I. Kuo;Yuanyuan Cheng;Yuanyuan Cheng;Runxuan Zhang;John W. S. Brown;John W. S. Brown
(2020)Nicolae Herndon;Jennifer Shelton;Lizzy Gerischer;Panos Ioannidis
(2020)Lia Chappell;Philipp Ross;Philipp Ross;Lindsey Orchard;Timothy J. Russell
(2020)Yong Wang;Jiao-Mei Huang;Ying-Li Zhou;Alexandre Almeida;Alexandre Almeida
(2020)Tobias Rausch;Tobias Rausch;Markus Hsi-Yang Fritz;Andreas Untergasser;Andreas Untergasser;Vladimir Benes
(2020)