Evidence map›Paper›PMID 38487486›Full record

ReviewHealth data science2022

A Review of Three-Dimensional Medical Image Visualization.

Liang Zhou, Mengjie Fan, Charles Hansen, Chris R Johnson, Daniel Weiskopf

Open access · diamondAbstract readReview
In one paragraph

Review in Health data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
15.4field-weighted citation impact, top 1% of its field
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

9 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 3 countries.

Liang ZhouNational Institute of Health Data Science, Peking University, Beijing, China.
Mengjie FanNational Institute of Health Data Science, Peking University, Beijing, China.
Charles HansenScientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA.
Chris R JohnsonScientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA.
Daniel WeiskopfVisualization Research Center (VISUS), University of Stuttgart, Stuttgart, Germany.
Peking University · CNUniversity of Utah · USUniversity of Stuttgart · DE

Funding

FluoRender: Rapid Quantitative Analysis and Adaptive Workflows for Fluorescence Microscopy Data in Fundamental Biomedical ResearchR01EB031872 · NIBIB · UNIVERSITY OF UTAH · PI HANSEN, CHARLES · 2021 to 2021
$1.1M
NIBIB NIH HHS R01 EB031872
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID38487486
PMCPMC10880180
OpenAlexW4225386756

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.