Synopsis of Social media discussions

Several discussions praise the publication as a 'favourite paper of 2017,' emphasizing its innovative approach to protein structure determination using metagenome data. The tone ranges from simple endorsements to mentioning potential applications, showing a balanced mixture of appreciation and curiosity.

A
Agreement
Moderate agreement

Most discussions express positive or supportive views towards the publication, reflecting general agreement with its significance.

I
Interest
Moderate level of interest

The posts show moderate curiosity, with some highlighting the importance of the research and its innovative methods.

E
Engagement
Moderate level of engagement

Participants are engaging by referencing specific aspects like methods and implications, but the depth is somewhat superficial.

I
Impact
Moderate level of impact

There is recognition that the work could be influential, especially in fields like protein research and therapeutics, indicating a moderate impact.

Social Mentions

YouTube

3 Videos

Bluesky

1 Posts

Facebook

5 Posts

Twitter

8 Posts

Blogs

6 Articles

News

15 Articles

Reddit

2 Posts

Metrics

Video Views

1,398

Total Likes

53

Extended Reach

51,893

Social Features

40

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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  • Helen Yu
    @Hypat1aYu (Twitter)

    RT @jgreener64: Favourite paper of 2017 "Protein structure determination using metagenome sequence data" by Ovchinnikov et al. (1/4) http…
    view full post

    January 8, 2025

    1

  • Joe Greener
    @jgreener64.bsky.social (Bluesky)

    Favourite paper of 2017 "Protein structure determination using metagenome sequence data" by Ovchinnikov et al. (1/4) www.science.org/doi/10.1126/...
    view full post

    January 8, 2025

    5

    8

  • Joe Greener
    @jgreener64 (Twitter)

    Favourite paper of 2017 "Protein structure determination using metagenome sequence data" by Ovchinnikov et al. (1/4) https://t.co/lYThcWxeOZ https://t.co/7jVGXHkopc
    view full post

    January 8, 2025

    8

    1

  • adhara_mathphys
    @adhara_mathphys (Twitter)

    RT @m_sekijima: @biochem_fan 下記とか?! https://t.co/bNc0j7EY1v https://t.co/SSZvxWYHT8 https://t.co/Vo7ug4oJXV 識者の @Ag_smith さん、どうでしょうか。
    view full post

    October 9, 2024

    2

  • tny
    @tny_twtr (Twitter)

    RT @m_sekijima: @biochem_fan 下記とか?! https://t.co/bNc0j7EY1v https://t.co/SSZvxWYHT8 https://t.co/Vo7ug4oJXV 識者の @Ag_smith さん、どうでしょうか。
    view full post

    September 18, 2024

    2

  • Masakazu Sekijima
    @m_sekijima (Twitter)

    @biochem_fan 下記とか?! https://t.co/bNc0j7EY1v https://t.co/SSZvxWYHT8 https://t.co/Vo7ug4oJXV 識者の @Ag_smith さん、どうでしょうか。
    view full post

    September 18, 2024

    1

    2

  • Yongchan Lee
    @YongChan_zzz (Twitter)

    RT @sokrypton: @eugenevalkov In the past, we even called it "Protein structure determination" cus the signal you get from MSA/coevolution (…
    view full post

    November 13, 2021

    1

  • Sergey Ovchinnikov
    @sokrypton (Twitter)

    @eugenevalkov In the past, we even called it "Protein structure determination" cus the signal you get from MSA/coevolution (even w/o any supervised learning) is as good as you would from any other experimental source. With AF/RF we just made this more efficient (2/2) https://t.co/z8ZLWj47Cm
    view full post

    November 12, 2021

    4

    1

  • Ian Haydon
    @ichaydon (Twitter)

    @sjurgis @gordonwells @rivatez @medialab @UWproteindesign huh - weird. Articles are: Massively parallel de novo protein design for targeted therapeutics And: Protein Structure Determination using Metagenome sequence data
    view full post

    April 28, 2019

Abstract Synopsis