Evidence map›Paper›PMID 27756850›Full record

ArticleWestern journal of nursing research2017

Visualization of Multidimensional Data in Nursing Science.

Sharron L Docherty, Allison Vorderstrasse, Debra Brandon, Constance Johnson

Abstract read
In one paragraph

Article in Western journal of nursing research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Opportunities and challenges presented by recent pedagogical innovations in doctoral nursing education.Journal of professional nursing : official journal of the American Association of Colleges of Nursing
    Article
  10. 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

4 authors.

Sharron L Docherty1 Duke University, Durham, NC, USA.
Allison Vorderstrasse1 Duke University, Durham, NC, USA.
Debra Brandon1 Duke University, Durham, NC, USA.
Constance Johnson1 Duke University, Durham, NC, USA.

Funding

Diabetes Self-Management & Support LIVE (Learning in Virtual Environments)R01HL118189 · NHLBI · DUKE UNIVERSITY · PI JOHNSON, CONSTANCE MARGARET, PAN, WEI · 2013 to 2017
$3.2M
Decision-making for Infants with Complex Life-Threatening ConditionsR01NR010548 · NINR · DUKE UNIVERSITY · PI DOCHERTY, SHARRON L · 2008 to 2012
$2.0M
eHealth: Second Life Impacts Diabetes Education & Self-Management (SLIDES)R21LM010727 · NLM · DUKE UNIVERSITY · PI JOHNSON, CONSTANCE MARGARET · 2010 to 2011
$421k
NHLBI NIH HHS R01 HL118189NINR NIH HHS R01 NR010548NLM NIH HHS R21 LM010727
6 · The paper itself

Abstract

Nursing scientists have long been interested in complex, context-dependent questions addressing individual- and population-level challenges in health and illness. These critical questions require multilevel data (e.g., genetic, physiologic, biologic, behavioral, affective, and social). Advances in data-gathering methods have resulted in the collection of large sets of complex, multifaceted, and often non-comparable data. Scientific visualization is a powerful methodological tool for facilitating understanding of these multidimensional data sets. Our purpose is to demonstrate the utility of scientific visualization as a method for identifying associations, patterns, and trends in multidimensional data as exemplified in two studies. We describe a brief history of visual analysis, processes involved in scientific visualization, and opportunities and challenges in the use of visualization methods. Scientific visualization can play a crucial role in helping nurse scientists make sense of the structure and underlying patterns in their data to answer vital questions in the field.

Indexed as

Big Datadata analysisdata integrationdata sciencemultidimensional datavisualization

Identifiers

PMID27756850
PMCPMC5395350

What OpenQuestion holds

Textmetadata
LicenceTDM
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.