Nature Methods
@naturemethods · New York · joined 11 Mar 2011
Nature Methods publishes cutting-edge methods, tools, analyses, resources, reviews, news and commentary, supporting life sciences research. Tweets by editors.
155 940Followers
1 086Following
5 816Posts total
670.8KViews on collected posts
Postingan terbaru
Mencari postingan baru…
@naturemethods "Hey, what's the big deal about spatial-ATAC-Hi-C enabling chromatin accessibility in brain samplesd Looks like some fancy epigenetic analysis to me!".
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In our latest Technology Feature, @CarolineSeydel explores how mechanical forces such as tension and compression influence tissue differentiation, and how cell biologists are observing and manipulating such forces in living systems.
https://t.co/psfPYQCpMa
4.8K views · 16 likes
· 1 reposts · 1 replies
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Spatial-ATAC-Hi-C enables profiling chromatin accessibility and spatial organization, as shown in mouse and human brain samples.
https://t.co/SUmtBKnTsI
6.4K views · 81 likes
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A Perspective from Deininger, Caldarelli, Zernicka-Goetz, and Mikut examines the role of AI-based image analysis as applied to stem cell-derived models.
https://t.co/IKyLXmlxaC https://t.co/TZoHIisGha
5.4K views · 22 likes
· 10 reposts · 0 replies
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In their Perspective, @labs_mann, Bing Zhang, Tiannan Guo and colleagues discuss key areas in proteomics where AI is poised to drive advances.
https://t.co/r4rRzkgmXs
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In our August 'Points of View', Helena Jambor and Alexander Lex discuss how to reuse, remix and vibe code scientific figures.
https://t.co/vhMjG2sSou https://t.co/GRINIauGbU
5.5K views · 29 likes
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Big thanks to Elham Karimi and Simon Milette, from the Walsh and Quail Labs, Rosalind and Morris Goodman Cancer Institute for the beautiful cover artwork! @MiletteSimon https://t.co/tTn7CdMZHC
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This month’s Technology Feature by Vivien Marx @metricausa highlights diverse international atlas projects, where they are now, and where they may be going in the future.
https://t.co/aYh20iJ5dz https://t.co/fn1sto3bpc
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Our final Comment from Rong Fan discusses how spatial proteomics fits in the multi-omics landscape and how it complements other spatial omics technologies for gaining holistic views of tissues. @RongFan8
https://t.co/mWahDyCdE2 https://t.co/RnFbHyphD2
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A Comment from Thierry Nordmann, Andreas Mund, and Matthias Mann introduces Deep Visual Proteomics and how this technology complements existing spatial proteomics technologies in basic research and beyond. @NordmannThierry @MundAndreas @labs_mann
https://t.co/sf1qOleilH https:/
1.2K views · 8 likes
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A Comment from Daniela Quail and Logan Walsh discusses the impact spatial proteomics has had on cancer research. @DanielaQuail @loganawalsh
https://t.co/KLqXi7bciG https://t.co/WFgw14KtHC
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A Comment from Yuval Bussi and Leeat Keren discusses state-of-the-art computational tools for analyzing highly multiplexed tissue imaging data and how next-generation tools can be used to gain further insight into these data-rich modalities. @leeat_keren
https://t.co/49N9Im6DlJ
6.8K views · 20 likes
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Spatial proteomics technologies have been crucial for understanding the organization, structure, and function of complex tissues, and have been instrumental in global atlas projects for mapping tissues and organs in health and disease.
https://t.co/g60tsm0Peq
6.5K views · 13 likes
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In his Comment, Bernd Bodemiller introduces immunofluorescence-based spatial proteomics, how it has impacted basic research, and how it will likely be a crucial player in the future of personalized medicine. @BodenmillerLab
https://t.co/sXdjq1UC4u https://t.co/gS8MIc5aA1
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The wait is over!! We are thrilled to announce that we have chosen Spatial Proteomics as 2024’s Method of the Year! 🥳
For more on Spatial Proteomics and a road map to this special issue, please see this month’s Editorial or read on in this thread.
https://t.co/phXooJzJda https
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We’d love to keep the conversation going and hear the ways you agree and disagree with these experts, and of your own thoughts on the bright future of bioimage analysis! (16/n)
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We could not be more thrilled with this Focus and offer our sincere thanks to all of the authors for taking the time to share their visions with us and the community. (14/n)
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We hope you enjoy reading these pieces and taking a mental journey to a future filled with robust, trustworthy, automated, generalizable, easy-to-implement tools to meet the full range of needs of those working in bioimaging and microscopy. (15/n)
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.@EliceiriK and @CiminiLab invite microscopists to play a game of twenty questions to help match users with specific image analysis needs with appropriate tools. (12/n)
https://t.co/dheFtek3e1
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Finally, @mike_r_oscope and colleagues envision a bright future for bioimage analysis and bioimage analysts in Africa and offer a roadmap to get there. (13/n)
https://t.co/I0yY9FbE84
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.@florianjug and colleagues emphasize the importance of community on the future of bioimage analysis, where FAIR data sharing and robust, accessible tools work together to drive biological discovery. (11/n)
https://t.co/IqhkUvBlKY
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Pieces from Susanne Rafelski and colleagues and @TalleyJLambert and @JenCWaters discuss the importance of doing advanced image analysis correctly, for a future where bioimage analysis is robust and reproducible. (9/n)
https://t.co/26DWZLnO0s
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From @TalleyJLambert and @JenCWaters (10/n)
https://t.co/O1V2aTGiob
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In their piece, @EliceiriK and @DrAnneCarpenter envision smart microscopes of the future and how to get there. (7/n)
https://t.co/uLLJwhaRF3
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From Qionghai Dai (6/n)
https://t.co/bHdpnfkIU0
1.7K views · 11 likes
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.@Malacridalab discusses bringing hypserspectral and fluorescence lifetime imaging into the 21st century and to a broad audience using advanced image analysis tools. (8/n)
https://t.co/bfOpo4VXHH
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From @BoWang87 (4/n)
https://t.co/UH3TzlONJO
1.9K views · 14 likes
· 1 reposts · 1 replies
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Focusing on technological advances, pieces from @loicaroyer, @BoWang87, @davidvanvalen, Qionghai Dai, and colleagues point to a future where advances in computer vision and AI fuel the next wave of innovations in biomage analysis. (3/n)
From @loicaroyer:
https://t.co/0DzyUuBZfu
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The result was eleven Comments reflecting diverse viewpoints about what might be on the horizon for the immediate and more distant future of bioimage analysis. For a quick summary and our own thoughts on what’s to come, please read our Editorial. (2/n)
https://t.co/JelxLQG0ua
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For this Focus issue, we asked experts in bioimaging from around the world to tell us what excited them about the future of bioimage analysis for the next 5-20 years. (1/n)
All Focus content can also be found here:
https://t.co/ckMtBOofwv https://t.co/dv4xC1P2Mm
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Dibandingkan akun berukuran sama
6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan5 266akun ini5 983median untuk 100K–1M
Jangkauan, %3.38%akun ini1.49%median untuk 100K–1M
Interaksi, %0.49%akun ini0.93%median untuk 100K–1M
| Metrik | Akun ini | Median untuk 100K–1M | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 5 266 | 5 983 | 0.88× |
| Jangkauan (tayangan ÷ pengikut) | 3.38% | 1.49% | 2.27× |
| Tingkat interaksi | 0.49% | 0.93% | 0.53× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
7.7K6 Dec
6.5K
6.8K
6.9K
1.2K
8.6K
10.2K
12K
5.5K1 Sep
5.1K
5.4K
6.4K3 Sep
4.8K
129
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.26%6 Dec
0.33%
0.40%
0.19%
0.78%
0.42%
0.18%
0.27%
0.69%1 Sep
0.12%
0.61%
1.48%3 Sep
0.37%
0.00%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes60.1%1 816 in total
Reposts19.4%586 in total
Replies1.3%38 in total
Quotes3.1%95 in total
Bookmarks16.2%489 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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Frequently asked questions about @naturemethods
How many followers does @naturemethods have?
155 940 followers.
How many posts has @naturemethods published?
5 816 posts.
How do posts by @naturemethods perform?
Collected posts: 30. Views: 670 802. Likes: 1 816.