Synopsis of Social media discussions
The discussions highlight the significance of the new weighting approaches, with references to tests of reliability and the benefits of selectively applying implied weighting, which suggest this work could have a meaningful impact on phylogenetic studies. The tone is analytical and enthusiastic, emphasizing the potential for these methods to refine evolutionary analyses.
Agreement
Moderate agreementMost discussions recognize that the publication offers meaningful advancements in weighting methods for phylogenetic analysis, with some indicating that the findings support the value of extended implied weighting.
Interest
High level of interestThe discussion shows high interest, especially in how these methods improve analytical reliability and flexibility.
Engagement
Moderate level of engagementParticipants actively engage by referencing specific methods like homoplasy weighing and extended implied weighting, indicating a thoughtful and technical engagement.
Impact
Moderate level of impactThe discussions suggest the publication could influence future phylogenetic analyses by improving reliability and addressing data issues, though the impact is somewhat preliminary.
Social Mentions
YouTube
5 Videos
Bluesky
1 Posts
1 Posts
Metrics
Video Views
2,079
Total Likes
20
Extended Reach
2,121
Social Features
7
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Enhanced Phylogenomic Analysis with Extended Implied Weighting Techniques
This video demonstrates the TNT script PhylogenomicSupport.run using the GUI, focusing on new extensions for implied weighting in phylogenetic analysis, which improve the handling of morphological and molecular data with missing entries or large datasets.
Enhanced Implied Weighting in TNT for Morphological and Molecular Data Analysis
This video demonstrates how to use the TNT script PhylogenomicSearchrun with a GUI. It covers recent extensions to implied weighting that improve analysis of combined morphological and molecular data, especially with large datasets and missing data.
Implementing Extended Implied Weighting in TNT for Phylogenomic Data Analysis
This video demonstrates how to use the TNT script PhylogenomicSupport.run, focusing on extended implied weighting to improve phylogenetic analysis, especially with large or incomplete datasets.
Using TNT Script for Phylogenomic Search and Data Partition Weighting
This video demonstrates how to use the TNT script PhylogenomicSearchrun, showcasing recent extensions to implied weighting that improve the analysis of combined morphological and molecular data, especially with missing entries or large datasets.
Enhanced Implied Weighting Methods for Phylogenetic Analysis
This video demonstrates using the TNT script SearchGeneTreesrun with both GUI and console, highlighting advanced implied weighting methods that improve analysis of combined morphological and molecular data, especially with large or incomplete datasets.
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Ezcurra: Exploring the effects of weighting against homoplasy in genealogies of palaeontological phylogenetic matrices (Cladistics) doi.org/10.1111/cla.... Tests if implied weighting and extended implied weighting produce more reliable results than equal weighting in parsimony.
view full postDecember 18, 2024
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Marc Srour
@trilo_butt (Twitter)Ezcurra: Exploring the effects of weighting against homoplasy in genealogies of palaeontological phylogenetic matrices (Cladistics) https://t.co/EiPT5jQNh2 Tests if implied weighting and extended implied weighting produce more reliable results than equal weighting in parsimony.
view full postDecember 18, 2024
Abstract Synopsis
- Several recent extensions to implied weighting in TNT improve the analysis of combined morphological and molecular data, especially when datasets have many missing entries or are large.
- A new method allows applying implied weighting selectively (e.g., only to morphological characters) while keeping others (like molecules) at constant weight, enhancing analysis flexibility.
- The approach also introduces ways to weight entire data partitions (like genes or codon positions) based on their average homoplasy, and it addresses issues with uninformative characters and missing data by adjusting weighting functions accordingly.]
Marc Srour
@trilobutt.bsky.social (Bluesky)