Evidence map›Paper›PMID 38872904›Full record

ArticleSoftware impacts2023

acc: An R package to process, visualize, and analyze accelerometer data.

Jaejoon Song, Michael D Swartz, Karen Basen-Engquist

Abstract read
In one paragraph

Article in Software impacts, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jaejoon SongCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Michael D SwartzDepartment of Biostatistics and Data Science, The University of Texas, Houston, TX, USA.
Karen Basen-EngquistDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
R25 SUPPLEMENT IN GENETIC EPIDEMIOLOGY EDUCATIONR25CA057730 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHANG, SHINE · 1992 to 2016
$18.6M
CANCER PREVENTION EDUCAT--STUDENT RESEARCH EXPERIENCESR25CA056452 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Shine Chang · 1992 to 2026
$6.9M
Social Cognitive Theory and PA after Endometrial CancerR01CA109919 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BASEN-ENGQUIST, KAREN M · 2004 to 2008
$2.2M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA109919NCI NIH HHS R25 CA056452NCI NIH HHS R25 CA057730
6 · The paper itself

Abstract

Wearable activity monitors are now widely used in behavioral and epidemiological studies to measure physical activity in free-living conditions. Despite the widespread use in research, the development of software to explore the data collected from these devices has been limited. We present

Indexed as

AccelerometerPhysical activity monitoringWearable sensor

Identifiers

PMID38872904
PMCPMC11175170

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.