ArticleAnnual review of analytical chemistry (Palo Alto, Calif.)2016
Advanced Multidimensional Separations in Mass Spectrometry: Navigating the Big Data Deluge.
Article in Annual review of analytical chemistry (Palo Alto, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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.
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.
Who cites it
42 citing papers in PubMed.
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- Low-level Blood Multiple Metals Exposure from Informal Jewelry Welding Alters Metabolomic and Lipidomic Profiles in Brazilian Women.Biological trace element research · 2026Article
- High-Throughput Screening of Isomeric Reaction Products by Droplet Microfluidics Coupled to Cyclic Ion Mobility-Mass Spectrometry.Analytical chemistry · 2026Article
- MSIMG: A Density-Aware Multi-Channel Image Representation Method for Mass Spectrometry.Sensors (Basel, Switzerland) · 2025Article
- Review
- High-resolution ion mobility based on traveling wave structures for lossless ion manipulation resolves hidden lipid features.Analytical and bioanalytical chemistry · 2024Article
- Evaluation of Surface-Induced Dissociation Ion Mobility-Mass Spectrometry for Lipid Structural Characterization.Journal of the American Society for Mass Spectrometry · 2024Article
- MassCCS: A High-Performance Collision Cross-Section Software for Large Macromolecular Assemblies.Journal of chemical information and modeling · 2023Article
- Collision Cross-Section Calibration Strategy for Lipid Measurements in SLIM-Based High-Resolution Ion Mobility.Journal of the American Society for Mass Spectrometry · 2022Article
- Improving confidence in lipidomic annotations by incorporating empirical ion mobility regression analysis and chemical class prediction.Bioinformatics (Oxford, England) · 2022Article
- Insights and prospects for ion mobility-mass spectrometry in clinical chemistry.Expert review of proteomics · 2022Article
- Accelerating strain phenotyping with desorption electrospray ionization-imaging mass spectrometry and untargeted analysis of intact microbial colonies.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Multidimensional Separations of Intact Phase II Steroid Metabolites Utilizing LC-Ion Mobility-HRMS.Analytical chemistry · 2021Article
- Resolving Power and Collision Cross Section Measurement Accuracy of a Prototype High-Resolution Ion Mobility Platform Incorporating Structures for Lossless Ion Manipulation.Journal of the American Society for Mass Spectrometry · 2021Article
- Generative Algorithm for Molecular Graphs Uncovers Products of Oil Oxidation.Journal of chemical information and modeling · 2021Article
- Targeted Strategy to Analyze Antiepileptic Drugs in Human Serum by LC-MS/MS and LC-Ion Mobility-MS.Analytical chemistry · 2020Article
- Chemical Class Prediction of Unknown Biomolecules Using Ion Mobility-Mass Spectrometry and Machine Learning: Supervised Inference of Feature Taxonomy from Ensemble Randomization.Analytical chemistry · 2020Article
- Biological Filtering and Substrate Promiscuity Prediction for Annotating Untargeted Metabolomics.Metabolites · 2020Article
- An Integrated Multi-Disciplinary Perspectivefor Addressing Challenges of the Human Gut Microbiome.Metabolites · 2020Review
- Crowd-Sourced Chemistry: Considerations for Building a Standardized Database to Improve Omic Analyses.ACS omega · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Hybrid analytical instrumentation constructed around mass spectrometry (MS) is becoming the preferred technique for addressing many grand challenges in science and medicine. From the omics sciences to drug discovery and synthetic biology, multidimensional separations based on MS provide the high peak capacity and high measurement throughput necessary to obtain large-scale measurements used to infer systems-level information. In this article, we describe multidimensional MS configurations as technologies that are big data drivers and review some new and emerging strategies for mining information from large-scale datasets. We discuss the information content that can be obtained from individual dimensions, as well as the unique information that can be derived by comparing different levels of data. Finally, we summarize some emerging data visualization strategies that seek to make highly dimensional datasets both accessible and comprehensible.
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Registered trials
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.