ArticleJournal of the Royal Society, Interface2020
Construction, comparison and evolution of networks in life sciences and other disciplines.
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- A Systems Perspective: How Social-Ecological Networks Can Improve Our Understanding and Management of Biological Invasions.Bioscience · 2026Review
- Current and future directions in network biology.Bioinformatics advances · 2024Article
- Noncoding RNAs improve the predictive power of network medicine.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders.Schizophrenia research. Cognition · 2021Article
- Eye Movements and Cognitive Functioning in Patients With Schizophrenia Spectrum Disorders: Network Analysis.Frontiers in psychiatry · 2021Article
- A model of the transition to behavioural and cognitive modernity using reflexively autocatalytic networks.Journal of the Royal Society, Interface · 2020Article
- Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA).PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network approaches have become pervasive in many research fields. They allow for a more comprehensive understanding of complex relationships between entities as well as their group-level properties and dynamics. Many networks change over time, be it within seconds or millions of years, depending on the nature of the network. Our focus will be on comparative network analyses in life sciences, where deciphering temporal network changes is a core interest of molecular, ecological, neuropsychological and evolutionary biologists. Further, we will take a journey through different disciplines, such as social sciences, finance and computational gastronomy, to present commonalities and differences in how networks change and can be analysed. Finally, we envision how borrowing ideas from these disciplines could enrich the future of life science research.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.