Evidence map›Paper›PMID 9083678›Full record

ArticleBiophysical journal1997

Single-particle tracking: the distribution of diffusion coefficients.

M J Saxton

Abstract read
In one paragraph

Article in Biophysical journal, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers.

0numbers the graph read from it
0cells of the map it votes in
216citing 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

216 citing papers in PubMed.

  1. Trial
  2. Dynamic partitioning shapes the in vivo organization of theProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
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  5. Dynamic partitioning shapes thebioRxiv : the preprint server for biology · 2026
    Article
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156 more citing papers are in PubMed but not listed here.

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

1 author.

M J SaxtonInstitute of Theoretical Dynamics, University of California, Davis 95616, USA. mjsaxton@ucdavis.edu

Funding

LATERAL DIFFUSION IN AN ARCHIPELAGO: MONTE CARLO STUDIESR01GM038133 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI SAXTON, MICHAEL J. · 1988 to 2011
$1.9M
NIGMS NIH HHS GM38133
6 · The paper itself

Abstract

In single-particle tracking experiments, the diffusion coefficient D may be measured from the trajectory of an individual particle in the cell membrane. The statistical distribution of single-trajectory diffusion coefficients is examined by Monte Carlo calculations. The width of this distribution may be useful as a measure of the heterogeneity of the membrane and as a test of models of hindered diffusion in the membrane. For some models, the distribution of the short-range diffusion coefficient is much narrower than the observed distribution for proteins diffusing in cell membranes. To aid in the analysis of single-particle tracking measurements, the distribution of D is examined for various definitions of D and for various trajectory lengths.

Indexed as

AnimalsCadherinsCell MembraneCells, CulturedDiffusionKeratinocytesMembrane LipidsMembrane ProteinsMiceModels, StatisticalMonte Carlo MethodCadherinsMembrane LipidsMembrane Proteins

Identifiers

PMID9083678
PMCPMC1184368

What OpenQuestion holds

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Registered trials

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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.