In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
1 · What the graph read from itWhat 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.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Ashley WoolforkDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0001-7030-9116 Ai Wen TanDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-6872-9856 Arjun SenguptaDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-2210-1876 Pinky KainDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-3579-6032 Om B PatelDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0009-0720-7278 Farheen AkhtarDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0007-7979-0074 George McClungPenn Image-Guided Interventions Laboratory, Department of Radiology, Philadelphia, PA.ORCID 0009-0007-2593-8774 Daniel AckermanPenn Image-Guided Interventions Laboratory, Department of Radiology, Philadelphia, PA.ORCID 0000-0002-3466-5444 Garret A FitzgeraldInstitute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-5885-6819 Aalim M WeljieDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-7145-4494 Funding
University of Pennsylvania Postdoctoral Opportunities in Research and TeachingK12GM081259 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Janis K. Burkhardt · 2007 to 2026
$20.1MUPR, interferon signaling and tumorigenesisP01CA165997 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DIEHL, JOHN ALAN · 2013 to 2023
$10.9MMetabolomics of obstructive sleep apneaR01HL142981 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI WELJIE, AALIM M · 2020 to 2023
$4.4MMetabolic Reprogramming in Insomnia as a Function of Objective Sleep DurationR01NR018836 · NINR · UNIVERSITY OF PENNSYLVANIA · PI GEHRMAN, PHILIP RICHARD, WELJIE, AALIM M · 2020 to 2024
$3.4MBalance of sleep and circadian metabolic switches in DrosophilaR01DK120757 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SEHGAL, AMITA, WELJIE, AALIM M · 2019 to 2022
$2.1MNCI NIH HHS P01 CA165997NHLBI NIH HHS R01 HL142981NIDDK NIH HHS R01 DK120757NIGMS NIH HHS K12 GM081259NINR NIH HHS R01 NR018836
6 · The paper itselfAbstract
Mass Spectrometry Imaging (MSI) is an emergent tool for analyzing spatial molecular distributions, yet data complexity often hinders effective analysis. MSI.EAGLE, an open-source R-Shiny application, makes analysis accessible for non-specialists by integrating advanced tools in a user-friendly interface. The workflow leverages tools from the Cardinal MSI package, with enhanced phenotyping, segmentation, statistical analysis and visualization. The application addresses a gap in spatial biology research by empowering a broader scientific community.
Identifiers
PMID40964246
PMCPMC12439914
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