Evidence map›Paper›PMID 36591339›Full record

ArticleJournal of geophysical research. Atmospheres : JGR2022

A Global-Scale Mineral Dust Equation.

Xuan Liu, Jay R Turner, Jenny L Hand, Bret A Schichtel, Randall V Martin

Abstract read
In one paragraph

Article in Journal of geophysical research. Atmospheres : JGR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Aged and Obscured Wildfire Smoke Associated with Downwind Health Risks.Environmental science & technology letters · 2024
    Article
  7. Article
  8. Article
  9. A Global-Scale Mineral Dust Equation.Journal of geophysical research. Atmospheres : JGR · 2022
    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

5 authors.

Xuan LiuDepartment of Energy, Environmental and Chemical Engineering Washington University in St. Louis St. Louis MO USA.ORCID https://orcid.org/0000-0001-8619-638X
Jay R TurnerDepartment of Energy, Environmental and Chemical Engineering Washington University in St. Louis St. Louis MO USA.ORCID https://orcid.org/0000-0001-7787-6244
Jenny L HandCooperative Institute for Research in the Atmosphere Colorado State University Fort Collins CO USA.ORCID https://orcid.org/0000-0002-4644-2459
Bret A SchichtelAir Resources Division National Park Service Lakewood CO USA.ORCID https://orcid.org/0000-0002-5512-8082
Randall V MartinDepartment of Energy, Environmental and Chemical Engineering Washington University in St. Louis St. Louis MO USA.ORCID https://orcid.org/0000-0003-2632-8402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A robust method to estimate mineral dust mass in ambient particulate matter (PM) is essential, as the dust fraction cannot be directly measured but is needed to understand dust impacts on the environment and human health. In this study, a global-scale dust equation is developed that builds on the widely used Interagency Monitoring of Protected Visual Environments (IMPROVE) network's "soil" formula that is based on five measured elements (Al, Si, Ca, Fe, and Ti). We incorporate K, Mg, and Na into the equation using the mineral-to-aluminum (MAL) mass ratio of (K

Indexed as

desert dustdustdust equationdust massmineral dustmineral elements

Identifiers

PMID36591339
PMCPMC9787586

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.