ArticleACS ES&T engineering2022
Evaluating the Performance of Using Low-Cost Sensors to Calibrate for Cross-Sensitivities in a Multipollutant Network.
Article in ACS ES&T engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed, 37 citations in OpenAlex.
- Article
- A Network Calibration Approach Improves the Accuracy and Long-Term Stability of a Low-Cost Air Quality Mesonet in New York City.ACS ES&T air · 2026Article
- Ambient PMCurrent environmental health reports · 2026Review
- Air Sensor Network Analysis Tool: R-Shiny Application.Atmosphere · 2025Article
- Article
- Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning.Sensors (Basel, Switzerland) · 2025Article
- A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks.Environmental science & technology · 2025Article
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data.ACS ES&T air · 2024Article
- Laboratory and field evaluation of a low-cost methane sensor and key environmental factors for sensor calibration.Environmental science: atmospheres · 2023Article
- Identifying optimal co-location calibration periods for low-cost sensors.Atmospheric measurement techniques · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
As part of our low-cost sensor network, we colocated multipollutant monitors containing sensors for particulate matter, carbon monoxide, ozone, nitrogen dioxide, and nitrogen monoxide at a reference field site in Baltimore, MD, for 1 year. The first 6 months were used for training multiple regression models, and the second 6 months were used to evaluate the models. The models produced accurate hourly concentrations for all sensors except ozone, which likely requires nonlinear methods to capture peak summer concentrations. The models for all five pollutants produced high Pearson correlation coefficients (
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What 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.