ArticleJournal of open source software2025
LightLogR: Reproducible analysis of personal light exposure data.
Article in Journal of open source software, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ocular light and optical radiation exposure as a modifiable environmental determinant of health: expert consensus on research gaps and priorities.BMC medicine · 2026Guideline
- Towards implementation of continuous biologically relevant light measurements at the bedside in the Neonatal Intensive Care Unit.Npj biological timing and sleep · 2026Article
- Sleep and light ecologies of parents with young infants: descriptive findings from the SUNSHINE project.Npj biological timing and sleep · 2026Article
- Light exposure and sleep architecture in real-world settings.Npj biological timing and sleep · 2026Article
- Analysis of human visual experience data.Journal of vision · 2026Article
- Article
- Auxiliary data, quality assurance and quality control for wearable light loggers and optical radiation dosimeters.Npj biological timing and sleep · 2026Article
- Physiologically-relevant light exposure and light behaviour in Switzerland and Malaysia.Journal of exposure science & environmental epidemiology · 2026Observational
- Article
- Collecting, detecting, and handling non-wear intervals in longitudinal light exposure data.Behavior research methods · 2026Article
- How to Deal With Darkness: Modeling and Visualization of Zero-Inflated Personal Light Exposure Data on a Logarithmic Scale.Journal of biological rhythms · 2025Article
- Physiologically relevant real-world light exposure and its behavioural and environmental determinants in Kumasi, Ghana.Open research Europe · 2025Article
- Behavioural determinants of physiologically-relevant light exposure.Communications psychology · 2024Review
- Wearable Light Loggers in Field Conditions: Corneal Light Characteristics, User Compliance, and Acceptance.Clocks & sleep · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Light plays an important role in human health and well-being, which necessitates the study of the effects of personal light exposure in real-world settings, measured by means of wearable devices. A growing number of studies incorporate these kinds of data to assess associations between light and health outcomes. Yet with few or missing standards, guidelines, and frameworks, it is challenging setting up measurements, analysing the data, and comparing outcomes between studies. Overall, time series data from wearable light loggers are significantly more complex compared to controlled stimuli used in laboratory studies. In this paper, we introduce LightLogR, a novel resource to facilitate these research efforts. The package for R statistical software is open-source and permissively MIT-licenced. As part of a developing software ecosystem, LightLogR is built with common challenges of current and future datasets in mind. The package standardises many tasks for importing and processing personal light exposure data. It allows for quick as well as detailed insights into the datasets through summary and visualisation tools. Furthermore, LightLogR incorporates major metrics commonly used in the field (61 metrics across 17 metric families), all while embracing an inherently hierarchical, participant-based data structure.
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.