| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 87 | 29 | 30 | 12 |
| Biology and Biochemistry | 250 | 87 | 98 | 24 |
Methods focuses on Computational biology, Cell biology, Genetics, Biochemistry and Molecular biology. The journal addresses concerns in Computational biology which are intertwined with other disciplines, such as RNA, Gene expression and Bioinformatics. The research on RNA discussed in Methods draws on the closely related field of Messenger RNA.
Research on Cell biology addressed in the journal frequently intersections with the field of Cell. Gene, Genome and DNA sequencing are all aspects of Genetics discussed in it. The works on Biochemistry deal in particular with DNA.
The journal articles mostly deal with topics like Computational biology, Genetics, Biochemistry, Cell biology and Molecular biology. While the published papers focused on Computational biology, they were also able to explore topics like RNA, microRNA, Gene expression and Bioinformatics. The most cited papers connects the study in Molecular biology with the closely related areas of Antibody.
The topics of Computational biology, Artificial intelligence, RNA, CRISPR and Gene are the focal point of discussions in the journal. Methods facilitates discussions on Computational biology that incorporate concepts from other fields like Circular RNA, DNA methylation, Genome, DNA and Exon. DNA research in the journal involves the investigation of Nucleic acid studies, all of which are linked to disciplines such as Digital polymerase chain reaction.
While Artificial intelligence is the key highlight in the journal, it also covered some subjects on Pattern recognition and Feature (computer vision). It connects the study in RNA with the closely related area of Messenger RNA. The journal dives deep in exploring the relationship between the study of Gene and Cell biology.
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 Methods (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 Methods (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, 4.22% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 5.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.13% of all publications and 78.85% 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.
Shizhao Li;Trygve O. Tollefsbol
(2021)Amirmohammad Nasiri Kenari;Lesley Cheng;Andrew F. Hill
(2020)Vijay Ramani;Xinxian Deng;Ruolan Qiu;Choli Lee
(2020)Athanasios Kesidis;Peer Depping;Alexis Lodé;Afroditi Vaitsopoulou
(2020)Andrew M. Leidal;Jayanta Debnath
(2020)Omer S. Alkhnbashi;Tobias Meier;Alexander Mitrofanov;Rolf Backofen
(2020)Satoshi Muraoka;Weiwei Lin;Mei Chen;Samuel W. Hersh
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