ArticleTrends in plant science2018
The APEX Approaches: A Unified LRR-RK Network Revealed.
Article in Trends in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Interactive Gene Expression Patterns of Susceptible and ResistantFrontiers in microbiology · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
Leucine-rich repeat receptor kinases (LRR-RKs) represent a large and functionally diverse family of transmembrane proteins critical for signal recognition and transduction at the plant cell plasma membrane. Here, we discuss a recent report which used a systems-level approach to validate key paradigms by constructing an LRR-RK interaction network model.
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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 OpenQuestion graph.