PLOS Computational Biology Year in Review
2020 was a year of growth for PLOS Computational Biology. We welcomed new members to our editorial board and continued to publish new and noteworthy research from our community. Discover journal updates, a message from the Editors-in-Chief, top papers, and more.
2,951
Published authors
91
Countries represented by submitting authors
710
Published articles
3,995,129
Article Views
In May, PLOS Computational Biology partnered with the Centre for Reproducible Biomedical Modelling to trial an expert technical peer review process designed to measure the level of reproducibility of participating studies.
Over 70 papers opted into the trial.This was a massive effort by the centre and our editorial board, and we will be announcing the findings from the pilot soon. Read more about the reproducibility pilot here.
This year, we continued to receive and publish the latest research on. Read some of our most-viewed publications from 2020.
- DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning
- From whole-organ imaging to in-silico blood flow modeling: A new multi-scale network analysis for revisiting tissue functional anatomy
- Striated myocyte structural integrity: Automated analysis of sarcomeric z-discs
Want more top research from the journal? Visit PLOS Computational Biology Top 10% collection for highly cited articles from recent years.
In 2020, PLOS Computational Biology articles were referenced 1,220 times by media outlets around the world. Explore articles that made the news.
Ready to share your study with a wider audience? Help more people read, see, and cite your published research with our Author Media Toolkit
17
New Editors
3
New Deputy Editors
1
New Education Editor
13
New Associate Editors
We continued to publish articles within our popular Ten Simple Rules collection. Highlights from the year include:
Ten simple rules for building an antiracist lab
Ten simple rules for women principal investigators during a pandemic
Ten simple rules for getting started on Twitter as a scientist
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