Evidence map›Paper›PMID 27455300›Full record

ReviewInternational journal of environmental research and public health2016

Exploring Global Exposure Factors Resources for Use in Consumer Exposure Assessments.

Rosemary T Zaleski, Peter P Egeghy, Pertti J Hakkinen

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Updated general exposure factors for risk assessment in the Korean population.Journal of exposure science & environmental epidemiology · 2023
    Article
  4. Article
  5. Article
  6. 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

3 authors.

Rosemary T ZaleskiExxonMobil Biomedical Sciences, Inc., 1545 Route 22 East, Annandale, NJ 08801, USA. rosemary.t.zaleski@exxonmobil.com.
Peter P EgeghyOffice of Research and Development, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA. egeghy.peter@epa.gov.
Pertti J HakkinenNational Library of Medicine, National Institutes of Health, 6707 Democracy Boulevard, Suite 510, Bethesda, MD 20894, USA. pertti.hakkinen@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This publication serves as a global comprehensive resource for readers seeking exposure factor data and information relevant to consumer exposure assessment. It describes the types of information that may be found in various official surveys and online and published resources. The relevant exposure factors cover a broad range, including general exposure factor data found in published compendia and databases and resources about specific exposure factors, such as human activity patterns and housing information. Also included are resources on exposure factors related to specific types of consumer products and the associated patterns of use, such as for a type of personal care product or a type of children's toy. Further, a section on using exposure factors for designing representative exposure scenarios is included, along with a look into the future for databases and other exposure science developments relevant for consumer exposure assessment.

Indexed as

Consumer Product SafetyEnvironmental ExposureDatabases, FactualHumansSurveys and Questionnairesconsumer behaviorconsumer productsdatabasesexposure assessmentsexposure factorshousehold productsonlinetime-activity patterns

Identifiers

PMID27455300
PMCPMC4962285

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.