Evidence map›Paper›PMID 32235527›Full record

ArticleSensors (Basel, Switzerland)2020

Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment.

Federico Carotenuto, Lorenzo Brilli, Beniamino Gioli, Giovanni Gualtieri, Carolina Vagnoli, Mauro Mazzola, Angelo Pietro Viola, Vito Vitale, Mirko Severi, Rita Traversi and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Performance Assessment of Two Low-Cost PMSensors (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
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

11 authors.

Federico CarotenutoInstitute of BioEconomy, National Research Council of Italy (CNR IBE), 50019 Sesto Fiorentino (FI), Italy.
Lorenzo BrilliInstitute of BioEconomy, National Research Council of Italy (CNR IBE), 50019 Sesto Fiorentino (FI), Italy.
Beniamino GioliInstitute of BioEconomy, National Research Council of Italy (CNR IBE), 50019 Sesto Fiorentino (FI), Italy.ORCID 0000-0001-7631-2623
Giovanni GualtieriInstitute of BioEconomy, National Research Council of Italy (CNR IBE), 50019 Sesto Fiorentino (FI), Italy.ORCID 0000-0002-5293-2315
Carolina VagnoliInstitute of BioEconomy, National Research Council of Italy (CNR IBE), 50019 Sesto Fiorentino (FI), Italy.
Mauro MazzolaInstitute of Polar Sciences, National Research Council of Italy (CNR ISP), 40129 Bologna (BO), Italy.ORCID 0000-0002-8394-2292
Angelo Pietro ViolaInstitute of Polar Sciences, National Research Council of Italy (CNR ISP), 40129 Bologna (BO), Italy.ORCID 0000-0002-6545-7496
Vito VitaleInstitute of Polar Sciences, National Research Council of Italy (CNR ISP), 40129 Bologna (BO), Italy.
Mirko SeveriChemistry Department, University of Florence, 50019 Sesto Fiorentino (FI), Italy.ORCID 0000-0003-1511-6762
Rita TraversiChemistry Department, University of Florence, 50019 Sesto Fiorentino (FI), Italy.ORCID 0000-0002-9790-2195
Alessandro ZaldeiInstitute of BioEconomy, National Research Council of Italy (CNR IBE), 50019 Sesto Fiorentino (FI), Italy.ORCID 0000-0002-1700-5647

Funding

Regione Toscana SMART, FAR-FAS 2014
6 · The paper itself

Abstract

The Arctic is an important natural laboratory that is extremely sensitive to climatic changes and its monitoring is, therefore, of great importance. Due to the environmental extremes it is often hard to deploy sensors and observations are limited to a few sparse observation points limiting the spatial and temporal coverage of the Arctic measurement. Given these constraints the possibility of deploying a rugged network of low-cost sensors remains an interesting and convenient option. The present work validates for the first time a low-cost sensor array (AIRQino) for monitoring basic meteorological parameters and atmospheric composition in the Arctic (air temperature, relative humidity, particulate matter, and CO

Indexed as

Arctic environmentatmospheric compositionlow-cost sensors

Identifiers

PMID32235527
PMCPMC7180591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.