Evidence map›Paper›PMID 36253599›Full record

ArticleBehavior research methods2023

Pain E-motion Faces Database (PEMF): Pain-related micro-clips for emotion research.

Roberto Fernandes-Magalhaes, Alberto Carpio, David Ferrera, Dimitri Van Ryckeghem, Irene Peláez, Paloma Barjola, María Eugenia De Lahoz, María Carmen Martín-Buro, José Antonio Hinojosa, Stefaan Van Damme and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Roberto Fernandes-MagalhaesDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
Alberto CarpioDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
David FerreraDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
Dimitri Van RyckeghemDepartment of Experimental Health Psychology, School of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
Irene PeláezDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
Paloma BarjolaDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
María Eugenia De LahozDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
María Carmen Martín-BuroDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain.
José Antonio HinojosaInsituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain.
Stefaan Van DammeDepartment of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Luis CarretiéFacultad de Psicología, Universidad Autónoma de Madrid, Madrid, Spain.
Francisco MercadoDepartment of Psychology, School of Health Sciences, Rey Juan Carlos University, Av. Atenas s/n, 28922 Alcorcón, Madrid, Spain. francisco.mercado@urjc.es.
Universidad Rey Juan Carlos · ESGhent University · BEMaastricht University · NLUniversidad Autónoma de Madrid · ESUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of publications have focused on the study of pain expressions. Despite the growing knowledge, the availability of pain-related face databases is still very scarce compared with other emotional facial expressions. The Pain E-Motion Faces Database (PEMF) is a new open-access database currently consisting of 272 micro-clips of 68 different identities. Each model displays one neutral expression and three pain-related facial expressions: posed, spontaneous-algometer and spontaneous-CO

Indexed as

EmotionsPainArousalFacial ExpressionHumansSurgical InstrumentsDatabaseEmotional expressionsPain-related faces

Identifiers

PMID36253599
PMCPMC10615976
OpenAlexW4306645276

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.