ArticleNature reviews. Immunology2012
Subjectivity and flow cytometric variability.
Article in Nature reviews. Immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- ImmunoPheno: A Computational Framework for Data-Driven Design and Analysis of Immunophenotyping Experiments.bioRxiv : the preprint server for biology · 2026Article
- Using Artificial Intelligence to Interpret Clinical Flow Cytometry Datasets for Automated Disease Diagnosis and/or Monitoring.Methods in molecular biology (Clifton, N.J.) · 2024Article
- AliGater: a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data.Bioinformatics advances · 2023Article
- Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data.Methods in molecular biology (Clifton, N.J.) · 2021Article
- High throughput pSTAT signaling profiling by fluorescent cell barcoding and computational analysis.Journal of immunological methods · 2020Article
- Single-cell technologies in reproductive immunology.American journal of reproductive immunology (New York, N.Y. : 1989) · 2019Review
- Computational flow cytometry: helping to make sense of high-dimensional immunology data.Nature reviews. Immunology · 2016Review
- Toward effective sharing of high-dimensional immunology data.Nature biotechnology · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
22531327What OpenQuestion holds
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.