Data on factors impacting time-to-acceptance could be crowd-sourced.
Major factors:
- time before first editor desk decision (varies a lot by editor and journal)
- review time (huge variation; also heavily influenced by the editors)
- editor decision time after reviews come in (can be longer than one would think)
– revision time (authors chasing very time-consuming experiments for the win; heavily influenced by (lack of) editor guidance, but also topic, model system...)
- second round (all same variables)
- possible appeal time (appeals are high at top journals and take even more time and can add to total time)
Journals track all this data. Authors should have it too.
Decent crowd-sourced data could be in ~real-time, and would help authors make informed decisions. I think many ppl would contribute data from their experience.
Sasha Gusev@SashaGusevPosts
Monthly median Received to Accepted time (days) at Nature Genetics
English
