Evidence map›Paper›PMID 32557005›Full record

ArticleAttention, perception & psychophysics2020

Creating a network of importance: The particular effects of self-relevance on stimulus processing.

Sarah Schäfer, Dirk Wentura, Christian Frings

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Does an experimentally induced self-association elicit affective self-prioritisation?Quarterly journal of experimental psychology (2006) · 2023
    Article
  8. Review
  9. The Functional Self.Experimental psychology · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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.

Sarah SchäferCognitive Psychology, University of Trier, D-54286, Trier, Germany. schaefers@uni-trier.de.ORCID http://orcid.org/0000-0002-2569-0883
Dirk WenturaGeneral Psychology and Statistics, Saarland University, Saarbrücken, Germany.
Christian FringsCognitive Psychology, University of Trier, D-54286, Trier, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several factors guide our attention and the way we process our surroundings. In that regard, there is an ongoing debate about the way we are influenced by stimuli that have a particular self-relevance for us. Recent findings suggest that self-relevance does not always capture our attention automatically. Instead, an interpretation of the literature might be that self-relevance serves as an associative advantage facilitating the integration of relevant stimuli into the self-concept. We compared the effect of self-relevant stimuli with the effect of negative stimuli in three tasks measuring different aspects of cognitive processing. We found a first dissociation suggesting that negative valence attracts attention while self-relevance does not, a second dissociation suggesting that self-relevance influences stimulus processing beyond attention-grabbing mechanisms and in the form of an "associative glue," while negative valence does not, and, last but not least, a third dissociation suggesting that self-relevance influences stimulus processing at a later stage than negative valence does.

Indexed as

AttentionVisual PerceptionHumansAttention: SelectivePerceptual categorization and identificationVisual perception

Identifiers

PMID32557005
PMCPMC7536139

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.