Evidence map›Paper›PMID 35654909›Full record

ArticleScientific reports2022

Evidence for content-dependent timing of real-life events during COVID-19 crisis.

Keren Taub, Dekel Abeles, Shlomit Yuval-Greenberg

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Keren TaubSagol School on Neuroscience, Tel-Aviv University, Tel Aviv-Yafo, Israel. kerentaub@mail.tau.ac.il.
Dekel AbelesSchool of Psychological Sciences, Tel-Aviv University, Tel Aviv-Yafo, Israel.
Shlomit Yuval-GreenbergSagol School on Neuroscience, Tel-Aviv University, Tel Aviv-Yafo, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How do people estimate the time of past events? A prominent hypothesis suggests that there are multiple timing systems which operate in parallel, depending on circumstances. However, quantitative evidence supporting this hypothesis focused solely on short time-scales (seconds to minutes) and lab-produced events. Furthermore, these studies typically examined the effect of the circumstance and the psychological state of the participant rather than the content of the timed events. Here, we provide, for the first time, support for multiple content-based timing systems when estimating the time of real-life events over long time-scales. The study was conducted during the COVID-19 crisis, which provided a rare opportunity to examine real-life time perception when many were exposed to similar meaningful events. Participants (N = 468) were asked to retrospectively estimate the time that has passed since prominent events, that were either related or unrelated to the pandemic. Results showed an overall time-inflation, which was decreased for events related to the pandemic. This indicates that long-term subjective timing of real-life events exists in multiple systems, which are affected not only by circumstances, but also by content.

Indexed as

COVID-19Time PerceptionHumansRetrospective Studies

Identifiers

PMID35654909
PMCPMC9161651

What OpenQuestion holds

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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.