Evidence map›Paper›PMID 30384771›Full record

ArticleBiological research for nursing2019

NuRsing Research in the 21st Century: R You Ready?

Michelle L Wright, Melinda Higgins, Jacquelyn Y Taylor, Vicki Stover Hertzberg

Abstract read
In one paragraph

Article in Biological research for nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The State of Data Science in Genomic Nursing.Biological research for nursing · 2020
    Review
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.

Michelle L Wright1 School of Nursing, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-9348-8740
Melinda Higgins2 Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Jacquelyn Y Taylor3 Rory Meyers College of Nursing, New York University, Emory, Atlanta, USA.
Vicki Stover Hertzberg2 Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Intergenerational Impact of Genetic and Psychological Factors on Blood PressureR01NR013520 · NINR · YALE UNIVERSITY · PI TAYLOR, JACQUELYN Y · 2014 to 2019
$3.9M
NICHD NIH HHS P2C HD042849NINR NIH HHS R01 NR013520
6 · The paper itself

Abstract

Nurse scientists are adept at translating findings from basic science into useful clinical- and community-based interventions to improve health. Over time, the focus of some nursing research has grown to include the assessment and evaluation of genomic and other output from high-throughput, or "omic," technologies as indicators related to health and disease. To date, the growth in the application of omics technologies in nursing research has included calls to increase attention to omics in nursing school curricula and educational training opportunities, such as the Summer Genetics Institute offered by the National Institute of Nursing Research. However, there has been scant attention paid in the nursing literature to the complexity of data analysis or issues of reproducibility related to omics studies. The goals of this article are to (1) familiarize nurse scientists with tools that encourage reproducibility in omics studies, with a focus on the free and open-source data processing and analysis pipeline, and (2) provide a baseline understanding of how these tools can be used to improve collaboration and cohesion among interdisciplinary research team members. Knowledge of these tools and skill in applying them will be important for communication across disciplines and imperative for the advancement of omics research in nursing.

Indexed as

ForecastingHumansInformation DisseminationNursing ResearchReproducibility of ResultsResearch Designinformation disseminationinformation managementnursing researchomicsreproducible researchstatistics

Identifiers

PMID30384771
PMCPMC6700885

What OpenQuestion holds

Textmetadata
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.