Evidence map›Paper›PMID 29976625›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Quantitative Association of Anatomical and Functional Classes of Olfactory Bulb Neurons.

Andrej Tavakoli, Anja Schmaltz, Daniel Schwarz, Troy W Margrie, Andreas T Schaefer, Mihaly Kollo

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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 registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrej TavakoliBehavioural Neurophysiology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.ORCID 0000-0002-9623-376X
Anja SchmaltzDivision of Neurophysiology, Medical Research Council National Institute for Medical Research, NW7 1AA, London, United Kingdom.
Daniel SchwarzBehavioural Neurophysiology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.ORCID 0000-0002-9017-8245
Troy W MargrieDivision of Neurophysiology, Medical Research Council National Institute for Medical Research, NW7 1AA, London, United Kingdom.
Andreas T SchaeferBehavioural Neurophysiology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany, Mihaly.Kollo@crick.ac.uk Andreas.Schaefer@crick.ac.uk.ORCID 0000-0002-4677-8788
Mihaly KolloBehavioural Neurophysiology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany, Mihaly.Kollo@crick.ac.uk Andreas.Schaefer@crick.ac.uk.ORCID 0000-0002-0147-6997

Funding

Medical Research Council MC_UP_1202/5Wellcome Trust
6 · The paper itself

Abstract

Juxtaglomerular cells (JGCs) of the olfactory bulb (OB) glomerular layer (GL) play a fundamental role in olfactory information processing. Their variability in morphology, physiology, and connectivity suggests distinct functions. The quantitative understanding of population-wise morphological and physiological properties and a comprehensive classification based on quantitative parameters, however, is still lacking, impeding the analysis of microcircuits. Here, we provide multivariate clustering of 95

Indexed as

AnimalsBiomarkersCluster AnalysisDendritesFemaleInterneuronsMachine LearningMaleMembrane PotentialsMiceMice, Inbred C57BLNerve Tissue ProteinsNeuronsNeurotransmitter AgentsOlfactory BulbPatch-Clamp TechniquesBiomarkersNerve Tissue ProteinsNeurotransmitter Agentscluster analysisexternal tufted cellinterneuronjuxtaglomerularolfactory bulbperiglomerular

Identifiers

PMID29976625
PMCPMC6096045

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.