| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Genetics | 141 | 4 | 6 | 5 |
| Biology and Biochemistry | 717 | 10 | 10 | 7 |
The journal is organized to address concerns in the fields of Genomics, Bioinformatics, Phylogenetics, Computational biology and Gene. The concepts on Genomics presented in it can also apply to other research fields, including Molecular evolution, DNA sequencing, Data mining and Data science. The research on Data science tackled can also make contributions to studies in the areas of Tree (data structure), Algorithm and Software.
Issues in Bioinformatics were discussed, taking into consideration concepts from other disciplines like Proteomics and Clinical science. It explores studies in Clinical science as part of the wider topic of Cancer gene. Evolutionary Bioinformatics facilitates discussions on Phylogenetics that incorporate concepts from other fields like Evolutionary biology, Biotechnology, Taxon and Phylogenetic tree.
Evolutionary Bioinformatics explores topics in Computational biology which can be helpful for research in disciplines like RNA and Gene expression. Research in the field of Genetics was used to conduct the presented Gene study. Comparative genomics, Whole genome sequencing and Genome evolution are among the concentrations of Genome that garnered much attention in the journal.
The journal articles focus largely on the fields of Genomics, Bioinformatics, Phylogenetics, Phylogenetic tree and Data science. In addition to Data science research, the published articles aim to explore topics under Data type, Population genetics, Maximum likelihood, Range (statistics) and Software. The most cited publications focus on Population genetics but the discussions also offer insight into other areas such as Bayes estimator, Monte Carlo method, Analysis of molecular variance and Fixation index.
Evolutionary Bioinformatics generally zeroes in on subjects such as Gene, Genetics, Gene expression, Genome and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The studies on Gene discussed can also contribute to research in the domains of Evolutionary biology and Computational biology. The close relationship between DLC1 and Adenocarcinoma is one of the points of interest dissected in Computational biology research.
The concepts on Genetics presented in Evolutionary Bioinformatics can also apply to other research fields, including Plasmodium falciparum and Malaria. The work on Gene expression tackled in Evolutionary Bioinformatics brings together disciplines like Real-time polymerase chain reaction, Auxin, Identification (biology) and Phylogenetics. The research on Disease tackled can also make contributions to studies in the areas of Biological target, Bioinformatics and Clinical significance.
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 Evolutionary Bioinformatics (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 Evolutionary Bioinformatics (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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.00% of all publications and 60.00% 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.
Tre Tomaszewski;Ryan S DeVries;Mengyi Dong;Gitanshu Bhatia
(2020)Prakruthi Burra;Katiria Soto-Díaz;Izan Chalen;Rafael Jaime Gonzalez-Ricon
(2021)Katherine E Noah;Jiasheng Hao;Luyan Li;Xiaoyan Sun
(2020)Karla J McDermid;Ronald P Kittle;Ronald P Kittle;Anne Veillet;Anne Veillet;Sophie Plouviez
(2020)Jun Yang;Peng Xu;Peng Xu;Diqiu Yu;Diqiu Yu
(2020)Yi-Pin Lai;Thomas R Ioerger
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