ArticleNature communications2026
Spatiotemporal dynamics of tire wear particles reveal escalating emission inequalities across China's road network.
Article in Nature communications, 2026. 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.
- Spatiotemporal dynamics of tire wear particles reveal escalating emission inequalities across China's road network.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-exhaust emissions are rapidly emerging as a major contributor to traffic-related particulate pollution, yet their emission patterns and impacts remain poorly constrained at large spatial scales. Here we present a nationwide, road-network-resolved assessment of tire and road wear particles (TRWP), integrating harmonized field measurements, machine-learning models, traffic activity data, and epidemiological models. China's road network emitted 425 kt of TRWP-derived fine particulate matter (PM
Identifiers
42850241What OpenQuestion 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 OpenQuestion graph.