Evidence map›Paper›PMID 31744511›Full record

ArticleJournal of neuroengineering and rehabilitation2019

JNER at 15 years: analysis of the state of neuroengineering and rehabilitation.

David J Reinkensmeyer

Open access · goldAbstract readHistorical ArticleLetter
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

1 author at 1 institution in 1 country.

David J ReinkensmeyerDepartment of Mechanical and Aerospace Engineering, University of California at Irvine, California, USA. dreinken@uci.edu.ORCID 0000-0002-3196-8706
University of California, Irvine · US

Funding

Interdisciplinary Engineering Career Development Center in Movement and Rehabilitation SciencesK12HD073945 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P, REINKENSMEYER, DAVID JAY · 2012 to 2021
$7.9M
EFFECTIVENESS OF ROBOT-ASSISTED HAND MOVEMENT TRAINING AFTER STROKER01HD062744 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI David Jay Reinkensmeyer · 2010 to 2026
$3.5M
NICHD NIH HHS K12 HD073945NICHD NIH HHS R01 HD062744
6 · The paper itself

Abstract

On JNER's 15th anniversary, this editorial analyzes the state of the field of neuroengineering and rehabilitation. I first discuss some ways that the nature of neurorehabilitation research has evolved in the past 15 years based on my perspective as editor-in-chief of JNER and a researcher in the field. I highlight increasing reliance on advanced technologies, improved rigor and openness of research, and three, related, new paradigms - wearable devices, the Cybathlon competition, and human augmentation studies - indicators that neurorehabilitation is squarely in the age of wearability. Then, I briefly speculate on how the field might make progress going forward, highlighting the need for new models of training and learning driven by big data, better personalization and targeting, and an increase in the quantity and quality of usability and uptake studies to improve translation.

Indexed as

Periodicals as TopicBiomedical EngineeringHistory, 20th CenturyHistory, 21st CenturyHumansNeurological RehabilitationSelf-Help DevicesMovementNeuroengineeringNeuroscienceRehabilitationRoboticsWearable

Identifiers

PMID31744511
PMCPMC6864952
OpenAlexW2990458815

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.