Evidence map›Paper›PMID 37817637›Full record

ArticleEuropean journal of translational myology2023

Bibliometric study on scientific productivity in the use of smart bracelets.

Jose Sulla-Torres, Rubén Vidal-Espinoza, Christopher Avendaño Llanque, Alexander Calla Gamboa, Manuel Zúñiga Carnero, Marco Cossio-Bolaños, Rossana Gomez-Campos

Open access · goldAbstract read
In one paragraph

Article in European journal of translational myology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 2 countries.

Jose Sulla-TorresEscuela de Ingeniería de Sistemas, Universidad Católica de Santa María, Arequipa. jsullat@ucsm.edu.pe.
Rubén Vidal-EspinozaUniversidad Católica Silva Henriquez, Santiago. rvidale@gmail.com.
Christopher Avendaño LlanqueEscuela de Ingeniería de Sistemas, Universidad Católica de Santa María, Arequipa. cavedanol@ucsm.edu.pe.
Alexander Calla GamboaEscuela de Ingeniería de Sistemas, Universidad Católica de Santa María, Arequipa. 71731434@ucsm.edu.pe.
Manuel Zúñiga CarneroEscuela de Ingeniería de Sistemas, Universidad Católica de Santa María, Arequipa. mzunigac@ucsm.edu.pe.
Marco Cossio-BolañosUniversidad Católica del Maule, Talca. mcossio1972@hotmail.com.
Rossana Gomez-CamposUniversidad Católica del Maule, Talca. rossaunicamp@gmail.com.
Catholic University of Santa María · PECatholic University of the Maule · CLUniversidad Católica Silva Henríquez · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, wearable sensors and mHealth applications are becoming an important part for recording and monitoring health parameters. The aim is to characterize bibli-ometric indicators on scientific productivity in the use of smart bracelets according to scientific journal, study topic and publication trend. A bibliometric study was per-formed. The data extracted from the articles were: year of publication, name of the journal, language of publication, country, type of study and subject matter. A total of 45 studies were identified (21 cross-sectional and 24 experimental), of which 43 were published in English, one in Spanish and one in German. A total of 32 scientific journals published eight research topics related to smartwatch use [active living with 17 studies (37.8%), followed by stress and anxiety with 7 studies (15.6%), nanogenerators (batteries) with 6 studies (13.3%), computing with 5 studies (11.1%), chronic diseases 4 studies (8.9%), COVID propagation 3 studies (6.7%), energy expenditure 2 studies (4.4%) and occupational health 1 study (2.2%)]. The journal Sensors (Basel) published the most articles in the last 6 years (n=7, 16%). The scientific productivity of both study types reflects a positive trend (cross-sectional studies R2= 0.82 and in experimental studies R2= 0.76). A total of 45 cross-sectional and experimental studies using smart-watches were verified in eight different study topics. The most investigated category was active living and the journal that published the highest number of articles was the journal Sensors (Basel).

Identifiers

PMID37817637
PMCPMC10811634
OpenAlexW4387495089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.