Your most read of 2017 on the F1000Research blog
18 December, 2017 | Shane Canning |
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We share with you what have been our most read posts in 2017

As we draw to the end of another year here at F1000Research, we thought it would be the perfect opportunity to take a look back at what you’ve been reading the most on our blog. Our year got off to a great start when we launched our blog network and has seen us publish a total of 47 posts on the F1000Research blog since then. In this blog post, we highlight the top five most read blogs this year covering a wide range of topics from peer review to puzzles in biology. We would also like to take this opportunity to thank all our authors and reviewers who have contributed to F1000Research’s continued success in 2017.
Bringing figures to life
In July, we were very excited to tell you about our new partnership with Plotly to include interactive figures in F1000Research articles. It seems that you were also just as eager to hear about this as this post from our Senior Publishing Editor, Thomas Ingraham, in which he explained this new feature was our most read post of 2017.
Puzzles in modern biology
Why are so many males sterile? Where does neurodegeneration start? These are some of the questions that our author Steven Frank from University of California, Irvine, explores in his series of articles called ‘Puzzles in modern biology’. In this guest blog post from September, he highlights some of these articles and contemplates potential future puzzles.
Reanalyse(a)s: plain sailing with Code Ocean
Reproducibility is something that we care about deeply here at F1000Research, as deep as an ocean you might even say! That’s why in April Thomas Ingraham was keen to tell you about integrating Code Ocean widgets into some of the articles featured in our Preclinical Reproducibility and Robustness channel. These widgets allow others to easily and quickly re-run the analysis of code and data published by others. It is also possible to edit the code to see how the results differ by changing the parameters, as well as run the analyses on your own uploaded data.
The road to FAIRness
The transparent post publication peer review model that we use on our articles can often create a discussion between the author and reviewer. We explored this further in February when I interviewed author Philippa Matthews and reviewer Gustav Nilsonne about what the FAIR principles mean for authors, reviewers, readers and publishers. The conversation that ensued proved to be popular and became our fourth most read post in 2017.
Show me the code
In June, our Publishing Editor, Hollydawn Murray, highlighted some of the great Software Tool Articles that have been published in F1000Research and announced a call for papers to help raise the profile and diversity of research software. You can also read about the results of asking people to show us their code here.
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