Skip to navigation Skip to content

quantixed

x == (s || z). You say it kwontized

  • Home
  • Twitter
  • GitHub
  • About
  • Contact
Main Navigation

Tag: Nature Communications

Communication Breakdown

There is an entertaining rumour going around about the journal Nature Communications. When I heard it for the fourth or fifth time, I decided to check out whether there is any truth in it. The rumour goes something like this: the impact factor of Nature Communications is driven by physical sciences papers. Sometimes it is […]

11th June 2019By quantixed publishing Impact Factor, JIF, Journal of Cell Science, Nature Communications, RstatsLeave a Comment

Ten Years vs The Spread: Calculating publication lag times in R

There have been several posts on this site about publication lag times. You can read them here. Lag times are the delays in the dissemination of scientific data introduced by the process of publishing the paper in a journal. Nowadays, your paper can be online in a few hours using a preprint server. However, this […]

23rd June 2018By quantixed computing, publishing lag times, Nature Communications, publishing, Rstats4 Comments
Follow @quantixed

quantixed
@quantixed

  • Great piece on the recently solved Erdős-Faber-Lovász conjecture. Shows again that the best problems are those that… twitter.com/i/web/status/1…
    about 7 days ago via TweetDeck
  • TIL about Isaac Newton and Samuel Pepys trying to figure out probability before it was a thing - interesting piece… twitter.com/i/web/status/1…
    about 1 week ago via TweetDeck
  • RT @icymi_r: ✍️ Ten Years vs The Spread II: Calculating publication lag times in R 👤 quantixed @quantixed 🔗 quantixed.org/2021/04/04/ten… #rs…
    about 1 week ago via TweetDeck
Recent Posts
  • Over and Over: Preprint revisions on bioRxiv
  • Ten Years vs The Spread II: Calculating publication lag times in R
  • The Rise and Fall: impact of the COVID-19 pandemic on bioRxiv preprints
  • Shiny Cage: visualising clathrin triskelia in a lattice
  • Os Mutantes: an implausible naming system for SARS-CoV-2 mutants
Tags
advice bash bioRxiv books cell biology citations code COVID-19 dataviz eLife endocytosis FIJI Garmin GPS gpx graphs h-index Igor IgorPro ImageJ Impact Factor iTunes JIF Journal of Cell Biology lablife lag times LaTeX maths mbp mentorship metrics organisation outreach papers plots preprints productivity publishing Rstats running science statistics tftb Twitter writing
Categories
  • adventures in code
  • computing
  • development
  • fun
  • funding
  • music
  • opinion
  • publishing
  • reading
  • science
  • the digital cell
  • Uncategorized
Get quantixed by email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

RSS

RSS Feed RSS - Posts

RSS Feed RSS - Comments

Blogroll
  • R-bloggers
  • TIR Blog
  • Flowing Data
  • R-users
Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy
CC-BY
Creative Commons Licence
Content from quantixed.org by Stephen Royle is licensed under a Creative Commons Attribution 4.0 International License.
© quantixed 2021 • ThemeCountry Powered by WordPress