Discover and read the best of Twitter Threads about #xromm
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Thrilled to share the culmination of >4,000 hours of #XROMM analysis, out #OA in @PNASNews! Here we propose a new role for joint mobility in reconstructing vertebrate locomotor evolution -- a small contribution toward reframing this fundamental problem 🦖 pnas.org/content/118/7/…
It’s been a real journey. To collect the necessary data, my life from 2016-2020 became a blur of perpetual point-tracking...
… which included more than one desperate plea for specimens (you’re the best @VTechmeetsPaleo 🥰)...
A belated #SICB2020-inspired thread — if you ever use #XROMM, watch #XROMM talks, or read #XROMM papers, the following unsolicited FYI is for you. Please r/t for visibility! @mechsNmorph @elbrainerd @jd_lc @KonowLab @JohnRHutchinson
***disclaimer, I don’t claim to be an expert on any of this, but I’ve made my fair share of mistakes over the past three years, and hopefully learned from some of them 🤞🏽
#XROMM studies like to include graphs with a whole lot of joint angles. Let’s talk about where those numbers come from, because it’s not as simple as you might think — and that actually matters.
