| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 43 | 500 | 751 | 61 |
| Computer Science | 48 | 411 | 873 | 62 |
Bioinformatics investigates studies in Computational biology, Data mining, Genetics, Artificial intelligence and Gene. The work on Computational biology tackled in it brings together disciplines like Genome, Genomics, Sequence analysis and DNA sequencing. The Genome study tackling the subject of Human genome is the focus of the journal.
Sequence analysis and Sequence alignment are closely related fields of research discussed in the journal. Multiple sequence alignment is a key component of Sequence alignment research discussed in it. The research on Data mining tackled can also make contributions to studies in the areas of Software, Set (abstract data type), Cluster analysis and Gene expression profiling.
The journal holds forums on Software that merges themes from other disciplines such as Visualization, World Wide Web, Database and Source code. Artificial intelligence research featured in Bioinformatics incorporates concerns from various other topics such as Machine learning and Pattern recognition. The journal emphasizes research on Gene, which includes concerns such as Gene expression.
The journal publications focus on Data mining, Computational biology, Genetics, Artificial intelligence and Genome. The most cited articles address concerns in the field of Data mining by exploring it in line with topics in Software which intersect with Source code, Visualization and World Wide Web subjects. The published articles explore topics in Computational biology which can be helpful for research in disciplines like Sequence analysis and Bioinformatics.
The journal explores disciplines such as Computational biology, Artificial intelligence, Supplementary data, Data mining and Source code. While Computational biology is the focus of it, it also provided insights into the studies of Identification (information), RNA, Genome, Gene and Disease. The majority of Gene studies presented zero in on Gene expression.
Machine learning and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal have an impact. The journal explores topics in Source code which can be helpful for research in disciplines like Python (programming language) and Software.
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 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 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, 3.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.67% of all publications and 62.68% 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.
With the constant advancement and interest in disciplines like Computational biology, Genetics, and Artificial intelligence, a career in Bioinformatics holds immense potential. The field offers an array of roles such as Medical Coder, Bioinformatician, Computational Biologist, and Geneticist among others.
One such role that has garnered attention is of a Medical Coder. They play a crucial role in assigning standard codes for each medical procedure and diagnosis. If you are interested in diving into this specialized field, it requires a certain set of skills and qualifications. You can learn more about how to become a medical coder in Wisconsin here.
The Bioinformatics field is interdisciplinary, combining biological studies with information technology. With a multitude of research topics and regular developments in the field, Bioinformatics provides a cutting-edge career path for individuals passionate about merging biology with IT.
Takuya Aramaki;Romain Blanc-Mathieu;Hisashi Endo;Koichi Ohkubo;Koichi Ohkubo
(2020)Thin Nguyen;Hang Le;Thomas P Quinn;Tri Nguyen
(2021)Heng Li
(2021)Timothy L Bailey
(2021)Matthew I J Raybould;Aleksandr Kovaltsuk;Claire Marks;Charlotte M Deane
(2021)Trang T Le;Weixuan Fu;Jason H Moore
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