Evidence map›Paper›PMID 32750346›Full record

ArticleCurrent biology : CB2020

Perceptual Expertise: How Is It Achieved?

Aaron R Seitz

Abstract readComment
PubMed Publisher
In one paragraph

Article in Current biology : CB, 2020. 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. Transforming Surgical Education through a Resident Robotic Curriculum.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2021
    Article
  3. The effect of expertise, target usefulness and image structure on visual search.Cognitive research: principles and implications · 2021
    Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Aaron R SeitzDepartment of Psychology, University of California Riverside, Riverside, CA 92521, USA. Electronic address: aseitz@ucr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are perceptual experts and we are constantly refining how we detect and discriminate objects in the world around us, often without any explicit instruction. But instruction can be helpful and sometimes even necessary. New research highlights the importance of instruction for achieving robust long-term retention of learning to identify complex features in natural images such as those used in radiology.

Indexed as

Supervised Machine LearningHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.