Article in mSystems, 2023. 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
1.7field-weighted citation impact, top 15% 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, 9 citations in OpenAlex.
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
11 authors at 5 institutions in 2 countries.
Kailun Zhang *Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-6994-9033
Robert F Potter *Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Jamie MarinoDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, USA.
Carol E MuenksDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Matthew G LammersDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Jennifer Dien BardDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-0524-9473
Tanis C DingleDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada.
Romney HumphriesDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID 0000-0002-6568-156X
Lars F WestbladeDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, USA.
Carey-Ann D BurnhamDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-1137-840X
Gautam DantasDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0003-0455-8370
Washington University in St. Louis · USCornell University · USUniversity of Calgary · CAUniversity of Southern California · USVanderbilt University · US
Funding
Impact of early-life perturbations on pediatric microbiome maturationR01AI155893 · NIAID · WASHINGTON UNIVERSITY · PI Gautam Dantas · 2021 to 2026
$4.6M
STRUCTURAL, MECHANISTIC, & EVOLUTIONARY CHARACTERIZATION OF TETRACYCLINE DESTRUCTASESU01AI123394 · NIAID · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, WENCEWICZ, TIMOTHY ADAM · 2020 to 2025
$4.1M
Environmental hygiene strategies to decrease the burden of antibiotic-resistant organisms in Intensive Care Unit SINKs (ICU SINK)R01HS027621 · AHRQ · WASHINGTON UNIVERSITY · PI BURNHAM, CAREY-ANN DAWN, DANTAS, GAUTAM · 2020 to 2024
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.
Comparative genomics reveals the correlations of stress response genes and bacteriophages in developing antibiotic resistance of · full record | OpenQuestion