Synopsis of Social media discussions
Comments reflect a positive reception, with users emphasizing the novel algorithms TRFu and FuJHA, and their superior accuracy compared to existing methods, using words like 'reliable' and 'promising.' The tone is analytical but optimistic, highlighting the potential for these algorithms to improve environmental analysis.
Agreement
Moderate agreementMost discussions recognize the article's importance in advancing mass spectrometry techniques for natural organic matter analysis.
Interest
Moderate level of interestPosts reflect moderate interest, with some highlighting the development of new algorithms and their comparative performance.
Engagement
Moderate level of engagementParticipants reference specific elements like algorithm accuracy and practical applications, indicating meaningful engagement.
Impact
Moderate level of impactThe collective tone suggests the study could significantly influence future research and practical environmental characterization.
Social Mentions
YouTube
2 Videos
2 Posts
4 Posts
News
3 Articles
Metrics
Video Views
1,976
Total Likes
21
Extended Reach
105,929
Social Features
11
Timeline: Posts about article
Top Social Media Posts
ChemRxiv
Development and Comparison of Formula Assignment Algorithms for Ultrahigh-Resolution Mass Spectra of Natural Organic Matter by Qing-Long Fu, Manabu Fujii & Thomas Riedel
https://t.co/nmbJ0ba9Ui https://t.co/Sd06To7hgc
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BioMassSpec
Development and Comparison of Formula Assignment Algorithms for Ultrahigh-resolution Mass Spectra of Natural Organic Matter #ACA https://t.co/rNPOj6MCiz
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ACS Publications
RT @ChemRxiv: Development and Comparison of Formula Assignment Algorithms for Ultrahigh-Resolution Mass Spectra of Natural Organic Matter b…
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備忘録
RT @realBioMassSpec: Development and Comparison of Formula Assignment Algorithms for Ultrahigh-resolution Mass Spectra of Natural Organic M…
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Posts referencing the article
Advanced Formula Assignment Algorithms for Ultrahigh-Resolution Mass Spectrometry
This tutorial covers preprocessing FTICRMS data using Bruker Compass DataAnalysis and formula assignment with the TRFu algorithm, highlighting its high accuracy in natural organic matter characterization. The TRFu code is freely accessible online.
May 21, 2020
1,596 views
Automated Chemical Formula Assignment for Ultrahigh-Resolution Mass Spectrometry
This tutorial covers TRFu, an algorithm designed to automatically assign chemical formulas for data from ultrahigh-resolution mass spectrometers like FTICRMS, facilitating detailed characterization of natural organic matter in various environmental samples.
May 2, 2020
380 views
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RT @realBioMassSpec: Development and Comparison of Formula Assignment Algorithms for Ultrahigh-resolution Mass Spectra of Natural Organic M…
view full postMay 25, 2020
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BioMassSpec
@realBioMassSpec (Twitter)Development and Comparison of Formula Assignment Algorithms for Ultrahigh-resolution Mass Spectra of Natural Organic Matter #ACA https://t.co/rNPOj6MCiz
view full postMay 25, 2020
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ACS Publications
@ACSPublications (Twitter)RT @ChemRxiv: Development and Comparison of Formula Assignment Algorithms for Ultrahigh-Resolution Mass Spectra of Natural Organic Matter b…
view full postOctober 2, 2019
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ChemRxiv
@ChemRxiv (Twitter)Development and Comparison of Formula Assignment Algorithms for Ultrahigh-Resolution Mass Spectra of Natural Organic Matter by Qing-Long Fu, Manabu Fujii & Thomas Riedel https://t.co/nmbJ0ba9Ui https://t.co/Sd06To7hgc
view full postOctober 1, 2019
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Abstract Synopsis
- The study developed two new automated algorithms, TRFu and FuJHA, for assigning chemical formulas to data obtained from ultrahigh-resolution mass spectrometry of natural organic matter (NOM), and compared their performance to existing open access algorithms like Formularity and WHOI.
- TRFu demonstrated the highest accuracy, correctly assigning formulas for 94% of 8719 NOM-like compounds and achieving up to a 99.1% formula assignment ratio across nearly 77,000 peaks from diverse NOM types such as aquatic soil sediment and biochar.
- The TRFu algorithm is freely available online, providing a reliable and practical tool for detailed characterization of NOM in natural and engineered environments, and can potentially be used for non-target screening of NOM-like emerging chemicals.
備忘録
@bibourokuabc (Twitter)