Article in Science (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
Renyi ZhangDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-8708-3862
Yixin LiDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-7937-7385
Jiayun ZhaoDepartment of Chemistry, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-9474-7938
Bianca Aridjis-OlivosDepartment of Chemistry, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-7060-676X
Lijun ZhaoDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0003-2584-6996
Veronica KowalewskiDepartment of Chemistry, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0009-0004-4833-6635
Maisha KabirDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0009-0005-9503-2279
Natalie M JohnsonTexas A&M Center for Environmental Health Research, Texas A&M University, College Station, TX, USA.
Erik R NielsenDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-7461-6172
Sarah D BrooksDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-8185-9332
Yue ZhangDepartment of Atmospheric Sciences, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-7234-9672
Arnold VedlitzTexas A&M Center for Environmental Health Research, Texas A&M University, College Station, TX, USA.
Weston PorterTexas A&M Center for Environmental Health Research, Texas A&M University, College Station, TX, USA.
Simon W NorthDepartment of Chemistry, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0002-0795-796X
Wanhe LiDepartment of Biology, College of Arts and Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-5682-5173
Michael W YoungHagler Institute for Advanced Study, Texas A&M University, College Station, TX, USA.ORCID 0000-0002-9726-2247
John H SeinfeldDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-1344-4068
Yuhan WangDepartment of Earth System Science, Doerr School of Sustainability, Stanford University, Stanford, CA, USA.ORCID 0000-0003-4320-7856
Yuan WangDepartment of Earth System Science, Doerr School of Sustainability, Stanford University, Stanford, CA, USA.ORCID 0000-0001-6657-8401
Funding
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Efstratios Pistikopoulos · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Sakhila Banu · 2019 to 2026
New particle formation (NPF) represents a major source of tropospheric fine aerosols. A common viewpoint is that NPF hinges thermodynamically on the volatility of condensing species and is unfavorable at high temperatures. From an intensive field campaign, we observed frequent NPF events during a heat wave. Size-resolved chemical composition of nanoparticles down to 3 nanometers was first measured, unraveling a dominant presence of carboxylic acids. Our work uncovers a spontaneous mechanism to produce supramolecular nanoparticles through self-assembly of organic acids. This discovery explains not only the unexpected NPF at high temperatures but also its ubiquitous occurrence under diverse atmospheric conditions. As global warming leads to more frequent and intense heat waves, our findings open avenues for assessing the impacts of aerosols on cloud formation, public health, and climate.
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.
Detecting supramolecular organic nanoparticles during heat wave. · full record | OpenQuestion