Evidence map›Paper›PMID 33777248›Full record

ArticleAtmospheric measurement techniques2020

Assessing the accuracy of low-cost optical particle sensors using a physics-based approach.

David H Hagan, Jesse H Kroll

Abstract read
In one paragraph

Article in Atmospheric measurement techniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Field Evaluation of Community Condensation Particle Counters, Optical Particle Counters, and a Low-Cost Particle Sensor.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2026
    Article
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  8. Review
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  11. Sensors (Basel, Switzerland) · 2025
    Article
  12. Article
  13. Article
  14. Evaluation of Long-Term Performance of Six PMSensors (Basel, Switzerland) · 2025
    Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

David H HaganDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jesse H KrollDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Funding

The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous ChemicalsP42ES027707 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JOHN M ESSIGMANN · 2017 to 2026
$22.2M
NIEHS NIH HHS P42 ES027707
6 · The paper itself

Abstract

Low-cost sensors for measuring particulate matter (PM) offer the ability to understand human exposure to air pollution at spatiotemporal scales that have previously been impractical. However, such low-cost PM sensors tend to be poorly characterized, and their measurements of mass concentration can be subject to considerable error. Recent studies have investigated how individual factors can contribute to this error, but these studies are largely based on empirical comparisons and generally do not examine the role of multiple factors simultaneously. Here, we present a new physics-based framework and open-source software package (

Identifiers

PMID33777248
PMCPMC7995643

What OpenQuestion holds

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Registered trials

None linked

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.