Evidence map›Paper›PMID 29507333›Full record

ArticleNature communications2018

A browser-based tool for visualization and analysis of diffusion MRI data.

Jason D Yeatman, Adam Richie-Halford, Josh K Smith, Anisha Keshavan, Ariel Rokem

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Jason D YeatmanInstitute for Learning & Brain Sciences, University of Washington, Portage Bay Building, Box 357988, Seattle, WA, 98195, USA. jyeatman@uw.edu.ORCID http://orcid.org/0000-0002-2686-1293
Adam Richie-HalfordDepartment of Physics, University of Washington, Seattle, WA, 98195, USA.
Josh K SmithDepartment of Chemical Engineering, University of Washington, Seattle, WA, 98195, USA.
Anisha KeshavanInstitute for Learning & Brain Sciences, University of Washington, Portage Bay Building, Box 357988, Seattle, WA, 98195, USA.
Ariel RokemeScience Institute, WRF Data Science Studio, University of Washington, Physics/Astronomy Tower (PAT), 6th Floor 3910 15th Ave NE, Seattle, WA, 98195, USA. arokem@gmail.com.ORCID http://orcid.org/0000-0003-0679-1985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human neuroscience research faces several challenges with regards to reproducibility. While scientists are generally aware that data sharing is important, it is not always clear how to share data in a manner that allows other labs to understand and reproduce published findings. Here we report a new open source tool, AFQ-Browser, that builds an interactive website as a companion to a diffusion MRI study. Because AFQ-Browser is portable-it runs in any web-browser-it can facilitate transparency and data sharing. Moreover, by leveraging new web-visualization technologies to create linked views between different dimensions of the dataset (anatomy, diffusion metrics, subject metadata), AFQ-Browser facilitates exploratory data analysis, fueling new discoveries based on previously published datasets. In an era where Big Data is playing an increasingly prominent role in scientific discovery, so will browser-based tools for exploring high-dimensional datasets, communicating scientific discoveries, aggregating data across labs, and publishing data alongside manuscripts.

Identifiers

PMID29507333
PMCPMC5838108

What OpenQuestion holds

Textmetadata
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.