Evidence map›Paper›PMID 27189256›Full record

ArticleJournal of exposure science & environmental epidemiology2017

Exposures to nanoparticles and fibers during injection molding and recycling of carbon nanotube reinforced polycarbonate composites.

Pongsit Boonruksa, Dhimiter Bello, Jinde Zhang, Jacqueline A Isaacs, Joey L Mead, Susan R Woskie

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Pongsit BoonruksaDepartment of Work Environment, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Dhimiter BelloDepartment of Work Environment, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Jinde ZhangDepartment of Plastics Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Jacqueline A IsaacsDepartment of Mechanical &Industrial Engineering, Northeastern University, Boston, Massachusetts, USA.
Joey L MeadDepartment of Plastics Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Susan R WoskieDepartment of Work Environment, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
University of Massachusetts Lowell · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the characteristics of airborne particles generated during injection molding and grinding processes of carbon nanotube reinforced polycarbonate composites (CNT-PC) were investigated. Particle number concentration, size distribution, and morphology of particles emitted from the processes were determined using real-time particle sizers and transmission electron microscopy. The air samples near the operator's breathing zone were collected on filters and analyzed using scanning electron microscope for particle morphology and respirable fiber count. Processing and grinding during recycling of CNT-PC released airborne nanoparticles (NPs) with a geometric mean (GM) particle concentration from 4.7 × 10

Indexed as

Air Pollutants, OccupationalDustEnvironmental MonitoringHumansInhalation ExposureMicroscopy, Electron, TransmissionNanofibersNanoparticlesNanotubes, CarbonOccupational ExposureParticle SizePolycarboxylate CementRecyclingRegression AnalysisAir Pollutants, OccupationalDustNanotubes, CarbonpolycarbonatePolycarboxylate Cement

Identifiers

PMID27189256
OpenAlexW2399715961

What OpenQuestion holds

Textmetadata
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.