Hi all,

I did a little (and entirely unscientific) test on this with one of our recent 
papers.

Views : Linkedin came out on top.

Engagement from other scientists : Mastodon.

X didn't really do much, last I checked.

There is a structural biology community on Mastodon and there are several 
servers (a.k.a instances) that are science themed...

at_struct_dot_bio
at_mstdn_dot_science
at_biologists_dot_social
at_cryoEM_dot_social
at_qoto_dot_org
at_fediverse_dot_science

Some suppliers are beginning to appear (e.g. Quantifoil) and there is a 
structural biology Mastodon group ([email protected]) that acts a bit like a 
distribution list.

Hth,

Contact me off list if I can help get you started.

Dave
@[email protected]

(Apologies if anyone got this twice - the original was pinged back as it 
tripped the spam filter, presumably the list of servers)



Dr David C. Briggs CSci MRSB

Principal Laboratory Research Scientist

Signalling and Structural Biology Lab

The Francis Crick Institute

London, UK

==

about.me/david_briggs<http://about.me/david_briggs>

________________________________
From: CCP4 bulletin board <[email protected]> on behalf of Marc Graille 
<[email protected]>
Sent: Wednesday, December 6, 2023 6:33:06 AM
To: [email protected] <[email protected]>
Subject: [ccp4bb] Alternatives to X


External Sender: Use caution.

Dear colleagues,

I take advantage of Tim's message about the fact that responsible people have 
resigned from X.
I  really enjoyed Twitter (which I discovered rather late) because it was a 
great tool for announcing news from my laboratory, but also for keeping abreast 
of recent publications or pre-publications related to my research interests.
I notice that many scientists have deserted X in recent months.

Can anyone suggest user-friendly alternatives used by the scientific 
communities to announce recent publications or news in their fields?

Best wishes,

Marc
—
Marc GRAILLE, PhD
DR1-CNRS
Laboratoire de Biologie Structurale de la Cellule  (BIOC; Ex-Laboratoire de 
Biochimie)
UMR7654 du CNRS

Head of the team: “Translation and degradation of eukaryotic mRNAs”

ÉCOLE POLYTECHNIQUE
91128 PALAISEAU CEDEX
FRANCE
📞: +33 (0)1 69 33 48 90

[cid:49F0726D-EF0C-4DF5-8DD6-D36862A03F60@home]
 : [email protected]<mailto:[email protected]> /
Twitter : @GrailleLab<https://twitter.com/GrailleLab>
https://portail.polytechnique.edu/bioc/en/research/coupling-between-translation-and-mrna-degradation-eukaryotes
—

[cid:[email protected]]

Le 2 déc. 2023 à 10:15, Tim Grüne 
<[email protected]<mailto:[email protected]>> a écrit :

Hi Mark,
responsible people are resigning from X.
Cheers,
Tim

Am 01.12.2023 23:24, schrieb Mark J. van Raaij:
just came across this critique of that paper on Twitter:
This exciting paper shows AI design of materials, robotic synthesis.
10s of new compounds in 17 days. But did they? This paper has very
serious problems in materials characterisation. In my view it should
never have got near publication. Hold on tight let's take a look 😱
[1]
Robert Palgrave (@Robert_Palgrave) on X [1]
twitter.com<http://twitter.com/> [1]
but I'm not enough of an expert to judge - perhaps some
characterizations were wrong and a lot of the paper does stand.
On 1 Dec 2023, at 20:51, Bryan Lepore 
<[email protected]<mailto:[email protected]>> wrote:
Adding to that literature list a bit outside :
Merchant, A., Batzner, S., Schoenholz, S.S. _et al._
Quote:
"... we show that graph networks trained at scale can reach
unprecedented levels of generalization, improving the efficiency of
materials discovery by an order of magnitude. "
Scaling deep learning for materials discovery.
_Nature_ (2023), November
https://doi.org/10.1038/s41586-023-06735-9
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Links:
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[1] https://twitter.com/Robert_Palgrave/status/1730358675523424344

--
--
Tim Gruene
Head of the Centre for X-ray Structure Analysis
Faculty of Chemistry
University of Vienna

Phone: +43-1-4277-70202

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