Re: [ccp4bb] Alternatives to X

Wed, 06 Dec 2023 11:33:52 -0800

Why not give Researchgate a chance?

Best

Stephane Betzi
PhD
CNRS researcher 
CRCM, Marseille France


Le 6 déc. 2023 19:47, John Gross <0000b6c4dbcf03ce-dmarc-requ...@jiscmail.ac.uk> a écrit :
Below are Bluesky codes for those that want to create an account and experiment with that platform.

NB-once a code is used it will no longer work, so forgive me if someone takes the code(s) before you can get to it.

I agree with what has been said and am still trying to find the right platform as a home.   I’m trying to figure out how to be seen on the Mastodon Structural Biology federations, as my account is on the general science platform ( mstdn.science.)

John


bsky-social-ber35-6cij3

bsky-social-kgctd-yzagy

bsky-social-phtvy-kjkez

bsky-social-hp536-lpgnz


bsky-social-vbs7q-zbbyv



—
John Gross, Ph.D.
Professor
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On Dec 5, 2023, at 11:57 PM, Guillaume Gaullier <guillaume.gaull...@kemi.uu.se> wrote:

Hello,

I can also recommend posting on a Mastodon instance. There is no algorithmic promotion of posts or accounts, which means you have to work a bit more to find interesting people to follow, but the reward is generally nicer, with more genuine interactions (since all the "popularity contest" features are either absent or not prominently displayed, like the metrics of answers, reposts, stars, etc.).

Speaking of, Dave, did you mean at_fediscience_dot_org for this last instance?

Many people seem to have moved to bluesky, but I would not recommend posting there if your goal is for your posts to be visible beyond your peers in your field: having an account is mandatory to see any content on bluesky (without an account, one only sees the login page), and at the moment new accounts can only be registered with an invitation from an already existing account.

Cheers,

On 6 Dec 2023, at 08:18, David Briggs <david.bri...@crick.ac.uk> wrote:

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 (struc...@a.gup.pe) that acts a bit like a distribution list.

Hth,

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

Dave

(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
==
From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> on behalf of Marc Graille <marc.grai...@polytechnique.edu>
Sent: Wednesday, December 6, 2023 6:33:06 AM
To: CCP4BB@JISCMAIL.AC.UK <CCP4BB@JISCMAIL.AC.UK>
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 
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FRANCE 
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Le 2 déc. 2023 à 10:15, Tim Grüne <tim.gru...@univie.ac.at> 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 [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 <bryanlep...@gmail.com> 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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[1] https://twitter.com/Robert_Palgrave/status/1730358675523424344

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