ArticleAtmospheric measurement techniques2018
Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado.
Article in Atmospheric measurement techniques, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Assessing the efficacy of a low-cost air pollution monitoring device for environmental and occupational exposure assessments.Environmental monitoring and assessment · 2025Article
- Air Sensor Network Analysis Tool: R-Shiny Application.Atmosphere · 2025Article
- Evaluation of Long-Term Performance of Six PMSensors (Basel, Switzerland) · 2025Article
- Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors.Sensors (Basel, Switzerland) · 2024Review
- Improving the Quality of Measurements Made by Alphasense NOSensors (Basel, Switzerland) · 2022Article
- Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative.Sensors (Basel, Switzerland) · 2021Article
- Mapping Urban Air Quality from Mobile Sensors Using Spatio-Temporal Geostatistics.Sensors (Basel, Switzerland) · 2021Article
- Development and Application of a United States wide correction for PMAtmospheric measurement techniques · 2021Article
- Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring.Sensors (Basel, Switzerland) · 2021Article
- Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project.Sensors (Basel, Switzerland) · 2021Article
- Deliberating Performance Targets: Follow-on workshop discussing PMAtmospheric environment (Oxford, England : 1994) · 2021Article
- The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems.Atmospheric environment (Oxford, England : 1994) · 2021Article
- A Review of Low-Cost Particulate Matter Sensors from the Developers' Perspectives.Sensors (Basel, Switzerland) · 2020Review
- Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure.International journal of environmental research and public health · 2020Article
- The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias.Sensors (Basel, Switzerland) · 2020Article
- Article
- Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile.Environmental monitoring and assessment · 2020Article
- Youth Engaged Participatory Air Monitoring: A 'Day in the Life' in Urban Environmental Justice Communities.International journal of environmental research and public health · 2019Article
- Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.Environment international · 2019Article
- Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors.Atmospheric environment (Oxford, England : 1994) · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Air pollution sensors are quickly proliferating for use in a wide variety of applications, with a low price point that supports use in high-density networks, citizen science, and individual consumer use. This emerging technology motivates the assessment under real-world conditions, including varying pollution levels and environmental conditions. A seven-month, systematic field evaluation of low-cost air pollution sensors was performed in Denver, Colorado, over 2015-2016; the location was chosen to evaluate the sensors in a high-altitude, cool, and dry climate. A suite of particulate matter (PM), ozone (O
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Registered trials
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