ReviewNeuron2014
The big data problem: turning maps into knowledge.
Review in Neuron, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Article
- A neuronal blueprint for directional mechanosensation in larval zebrafish.Current biology : CB · 2021Article
- Article
- Article
- Will big data yield new mathematics? An evolving synergy with neuroscience.IMA journal of applied mathematics · 2016Article
- An Introduction to Programming for Bioscientists: A Python-Based Primer.PLoS computational biology · 2016Article
- Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders--promises and limitations.Journal of child psychology and psychiatry, and allied disciplines · 2016Review
- Proposed Training to Meet Challenges of Large-Scale Data in Neuroscience.Frontiers in neuroinformatics · 2016Article
- Non-mammalian models in behavioral neuroscience: consequences for biological psychiatry.Frontiers in behavioral neuroscience · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
In this NeuroView, Engert discusses the challenges for the connectomics field in making insights about brain function from big data.
Indexed as
Identifiers
What 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.