ArticleResearch square2023
Merlin
Charlotte Eaton, Lauro Avalos, S John Liu, Tim Casey-Clyde, Paola Bisignano, Calixto-Hope Lucas, Erica Stevenson, Abrar Choudhury, Harish Vasudevan, Stephen Magill and 4 more
Open access · greenAbstract readPreprint
In one paragraphArticle in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
14 authors at 5 institutions in 2 countries.
Charlotte EatonUniversity of California San Francisco.
Lauro AvalosUniversity of California San Francisco.
S John LiuUniversity of California San Francisco.
Tim Casey-ClydeUniversity of California San Francisco.
Paola BisignanoVanderbilt.
Erica StevensonUniversity of California, San Francisco.
Harish VasudevanUniversity of California San Francisco.
Stephen MagillNorthwestern University.
Nevan KroganQuantitative Biosciences Institute, University of California San Francisco.
Javier Villanueva-MeyerUCSF.
University of California, San Francisco · USUniversidad Católica de Santa Fe · ARJohns Hopkins University · USQuantitative BioSciences · USVanderbilt Health · US
Funding
Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Susan M Chang · 2002 to 2026
$57.4MMEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6MUsing Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI IDEKER, TREY, KROGAN, NEVAN J · 2017 to 2021
$10.9MTraining Program in Translational Brain Tumor ResearchT32CA151022 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2010 to 2026
$6.6MUnderstanding druggable drivers of meningioma tumorigenesisR01CA262311 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RALEIGH, DAVID R · 2021 to 2025
$2.7MIllumina NovaSeq 6000 Sequencing SystemS10OD028511 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOW, ERIC D · 2020 to 2020
$583kInvestigating the Regulation and Role of FOXM1 in Aggressive MeningiomaF30CA246808 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOUDHURY, ABRAR · 2020 to 2023
$159kDevelopment of a molecular diagnostic and prognostic signature for meningiomaF32CA213944 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAGILL, STEPHEN T · 2017 to 2017
$63kNCI NIH HHS F30 CA246808NCI NIH HHS F32 CA213944NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA262311NCI NIH HHS T32 CA151022NCI NIH HHS U54 CA209891NIGMS NIH HHS T32 GM007618NIH HHS S10 OD028511
6 · The paper itselfAbstract
Meningiomas are the most common primary intracranial tumors and are associated with inactivation of the tumor suppressor
Identifiers
PMID36993679
PMCPMC10055685
OpenAlexW4324131295
What OpenQuestion holds
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LicenceCC BY
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