Evidence map›Paper›PMID 35062477›Full record

ArticleSensors (Basel, Switzerland)2022

Novel Algorithm for Radon Real-Time Measurements with a Pixelated Detector.

Alessandro Rizzo, Francesco Cardellini, Claudio Poggi, Enrico Borra, Luca Ciciani, Livio Narici, Luciano Sperandio, Ignazio Vilardi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Alessandro RizzoRadiation Protection Institute (IRP)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.ORCID 0000-0001-5597-8514
Francesco CardelliniNational Institute of Ionizing Radiation Metrology (INMRI)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.
Claudio PoggiRadiation Protection Institute (IRP)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Enrico Fermi 45, 00044 Rome, Italy.
Enrico BorraRadiation Protection Institute (IRP)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.
Luca CicianiRadiation Protection Institute (IRP)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.ORCID 0000-0002-9913-0854
Livio NariciPhysics Department, University of Rome "Tor Vergata", Via Della Ricerca Scientifica 1, 00133 Rome, Italy.
Luciano SperandioRadiation Protection Institute (IRP)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.
Ignazio VilardiRadiation Protection Institute (IRP)-Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.ORCID 0000-0001-8796-2007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, radon gas exposure is considered one of the main health concerns for the population because, by carrying about half the total dose due to environmental radioactivity, it is the second cause of lung cancer after smoking. Due to a relatively long half-life of 3.82 days, the chemical inertia and since its parent Ra-226 is largely diffuse on the earth's crust and especially in the building materials, radon can diffuse and potentially saturate human habitats, with a concentration that can suddenly change during the 24 h day depending on temperature, pressure, and relative humidity. For such reasons, 'real-time' measurements performed by an active detector, possibly of small dimensions and a handy configuration, can play an important role in evaluating the risk and taking the appropriate countermeasures to mitigate it. In this work, a novel algorithm for pattern recognition was developed to exploit the potentialities of silicon active detectors with a pixel matrix structure to measure radon through the

Indexed as

Air Pollutants, RadioactiveRadiation MonitoringRadonAlgorithmsHumansRadon DaughtersAir Pollutants, RadioactiveRadonRadon DaughtersMediPixpattern recognition algorithmradonreal-time measurementsTimePix

Identifiers

PMID35062477
PMCPMC8780917

What OpenQuestion holds

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Registered trials

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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.