Evidence map›Paper›PMID 36519147›Full record

ArticleAffective science2022

Recovering Individual Emotional States from Sparse Ratings Using Collaborative Filtering.

Eshin Jolly, Max Farrens, Nathan Greenstein, Hedwig Eisenbarth, Marianne C Reddan, Eric Andrews, Tor D Wager, Luke J Chang

Open access · hybridAbstract read
In one paragraph

Article in Affective science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 2 countries.

Eshin JollyDepartment of Psychological and Brain Sciences, Computational Social and Affective Neuroscience Laboratory, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755 USA.ORCID 0000-0002-6144-5789
Max FarrensDepartment of Psychological and Brain Sciences, Computational Social and Affective Neuroscience Laboratory, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755 USA.
Nathan GreensteinDepartment of Psychological and Brain Sciences, Computational Social and Affective Neuroscience Laboratory, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755 USA.
Hedwig EisenbarthSchool of Psychology, Victoria University of Wellington, Wellington, New Zealand.
Marianne C ReddanDepartment of Psychology, Stanford University, Palo Alto, CA USA.
Eric AndrewsDepartment of Psychology, University of Arizona, Tucson, AZ USA.
Tor D WagerDepartment of Psychological and Brain Sciences, Computational Social and Affective Neuroscience Laboratory, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755 USA.
Luke J ChangDepartment of Psychological and Brain Sciences, Computational Social and Affective Neuroscience Laboratory, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755 USA.
Dartmouth College · USPalo Alto University · USUniversity of Arizona · USVictoria University of Wellington · NZ

Funding

Dynamic brain representations underlying emotional experienceR01MH116026 · NIMH · DARTMOUTH COLLEGE · PI CHANG, LUKE JOSEPH · 2018 to 2025
$4.9M
NIMH NIH HHS R01 MH116026
6 · The paper itself

Abstract

A fundamental challenge in emotion research is measuring feeling states with high granularity and temporal precision without disrupting the emotion generation process. Here we introduce and validate a new approach in which responses are sparsely sampled and the missing data are recovered using a computational technique known as Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-022-00161-2.

Indexed as

AffectCollaborative filteringEmotionModelingPrediction

Identifiers

PMID36519147
PMCPMC9743951
OpenAlexW3199583820

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.