EMBL-EBI Add us as a preferred source on Google
🔄 Data last refreshed 2 months ago
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Make a deal with EMBL-EBI
👋 Unclaimed listing — auto-generated from public data; rates are estimates, not set by the creator. 🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
72.7K
Posts
9.7K
Following
561
Account age
16 yrs
💰 Suggested sponsorship rate
$407 – $662 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor EMBL-EBI
Known for
121K views
We are deeply saddened by the loss of Michael Ashburner, a pioneering co-founder and former Head of Research at EMBL-EBI.
His contributions to bioinformatics have been immeasurable. Our thoughts are with his family, colleagues and all those whose lives were enriched by his work.
92.2K views
The #AlphaFold Database has levelled up 🚀
🔍 Sequence-based search: Find protein structures in the database using BLAST
🤝With @thesteinegger team, we bring structure similarity clusters for seamless navigation
A collaboration with @GoogleDeepMind
https://t.co/9ZONZhrHKR
55.9K views
To help scientists explore whether a genetic variant is likely pathogenic, and which regions of proteins are functionally important, we've integrated AlphaMissense data by @GoogleDeepMind into @ensembl, @uniprot & the AlphaFold database.
https://t.co/zj87nASrJ5
54.3K views
AlphaFold has given us millions of protein structure predictions, but analysing these can be tricky due to computational limitations.
Foldseek Cluster is a new algorithm that can perform structural comparisons of every #AlphaFoldDB protein prediction.
https://t.co/jdJmLfCCSA
📊 Post performance
Recent posts · views
Jul 7latest
55.9K
Avg views / post
54.3K–92.2K
Typical post (views)
76.9%
Reach vs followers
73/100
Consistent reach
Mar 2010
On X since
Half of recent posts land between 54.3K and 92.2K views (median 55.9K) — a dependable floor a sponsored post can count on.
🔥 Top post: We are deeply saddened by the loss of Michael Ashburner, a pione · 121K views
📊 Activity & format
Posting cadence
0.06 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 1 video · 11 image · 6 text.
Follower / following
130×
Follows 561 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Recent posts
View on X ↗
🔥 Top post
We are deeply saddened by the loss of Michael Ashburner, a pioneering co-founder and former Head of Research at EMBL-EBI.
His contributions to bioinformatics have been immeasurable. Our thoughts are with his family, colleagues and all those whose lives were enriched by his work…
Combining data from different single-cell sequencing experiments is often hindered by inconsistent metadata and file formats.
Introducing MAMS; a new standard for metadata that promotes harmonisation and reproducibility across datasets.
…
To help scientists explore whether a genetic variant is likely pathogenic, and which regions of proteins are functionally important, we've integrated AlphaMissense data by @GoogleDeepMind into @ensembl, @uniprot & the AlphaFold databas…
The #AlphaFold Database has levelled up 🚀
🔍 Sequence-based search: Find protein structures in the database using BLAST
🤝With @thesteinegger team, we bring structure similarity clusters for seamless navigation
A collaboration with @Googl…
AlphaFold has given us millions of protein structure predictions, but analysing these can be tricky due to computational limitations.
Foldseek Cluster is a new algorithm that can perform structural comparisons of every #AlphaFoldDB protei…
AlphaFold DB will boldly go where no scientist has gone before.
With over 200 million protein structure predictions added to the database, AlphaFold DB now gives users open access to a 3D protein universe. #AlphaFold @DeepMind
https://t…
AlphaFold DB marks its one year anniversary 🎉
To celebrate we look back at some of the exceptional advancements that #AlphaFold has made possible over the last 12 months and we invite you to add your own work in the replies. @DeepMind
C…
Last year we teamed up with @DeepMind to launch the #AlphaFold database for protein structure predictions calculated using #AI. We’re now up to ~1 million predictions including proteins relevant to neglected tropical diseases & antimic…
#AI for protein structure prediction is the @ScienceMagazine breakthrough and a @Nature top pick of the year 🎉
Thousands of protein structure predictions powered by @Deepmind's revolutionary AI are available in the #openaccess AlphaFoldDB…
🎉New #AlphaFold data! With @DeepMind, we’ve more than doubled the size of the database & added predictions for most of the manually-curated @uniprot entries in UniProtKB/SwissProt.
That's >400,000 new protein structure predictions…
The #AlphaFold Protein Structure Database gives researchers #openaccess to an extensive collection of protein structure predictions.
Learn about this EMBL-EBI hosted resource and future plans from our scientists and @DeepMind to expand t…
How can #AI help us speed up scientific discovery? We’ve teamed up with @DeepMind to make #AlphaFold protein structure predictions freely and openly available to the scientific community.
https://t.co/Lq2aUvjkQS
#FAIRdata #structuralbiol…
💡 Facts
🗓️Joined X in 2010 — 16 years ago.
👁️Averages 55.9K views per post.
📤Posts about 0.1× per week.
💬0.64% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated37/100
Low
Credibility score
66%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 66% real, active audience · Medium fake-follower risk.
- Low engagement (~0.8× of followers engage each post) — a sign of an inflated or inactive audience.
- Organic base — far more followers than accounts it follows.
- Established account (16+ years old).
- 0.64% engagement — below the ~8.8% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
EMBL-EBI provides open biological data resources and tools, and performs basic research in computational biology. https://bsky.app/profile/ebi.embl.org
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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18%
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16%
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14%
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13%
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How many followers does EMBL-EBI have?
EMBL-EBI has 72,715 followers on X.
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