Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Long-term Depression01:05

Long-term Depression

27.3K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
27.3K
Feedback Loops01:01

Feedback Loops

43.9K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
43.9K
Review and Preview01:13

Review and Preview

9.5K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.5K
Review and Preview01:10

Review and Preview

5.9K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
5.9K
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

516
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
516
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

423
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
423

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Efficacy and Safety of Efinaconazole 10% Topical Solution for Treatment of Onychomycosis in Older Adults: A Post Hoc Analysis of Two Phase 3 Randomised Trials.

Mycoses·2025
Same author

Dermatophytomas in Onychomycosis: A Scoping Review of Prevalence, Diagnosis, and Treatment.

Journal of the American Podiatric Medical Association·2024
Same author

Number of Affected Nails Is the Primary Determinant of Efinaconazole 10% Solution Usage for Onychomycosis.

Journal of drugs in dermatology : JDD·2024
Same author

Treatment of onychomycosis in an era of antifungal resistance: Role for antifungal stewardship and topical antifungal agents.

Mycoses·2024
Same author

Concerning rates of laboratory-confirmed antifungal-resistant onychomycosis and tinea pedis: An online survey of podiatrists, United States.

Health science reports·2023
Same author

Parenteral Vancomycin in the Treatment of MRSA-Associated Diabetic Foot Infections: An Unnecessary Risk.

The international journal of lower extremity wounds·2023

Related Experiment Video

Updated: May 2, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.4K

The Peer Review System: A Journal Editor's 30-Year Perspective.

Warren S Joseph1

  • 1Arizona College of Podiatric Medicine, Midwestern University, Glendale, AZ, USA; Journal of the American Podiatric Medical Association, 420 S York Road, Unit 17C, Hatboro, PA 19040, USA.

Clinics in Podiatric Medicine and Surgery
|February 22, 2024
PubMed
Summary
This summary is machine-generated.

The scientific peer review system faces challenges including reviewer burden, lack of motivation, and inherent biases. Emerging artificial intelligence may significantly alter this traditional publication process.

Keywords:
Blinded peer reviewEditorial policiesPeer review processResearchScientific publication

More Related Videos

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

2.8K
A Friction Testing-Bioreactor Device for Study of Synovial Joint Biomechanics, Mechanobiology, and Physical Regulation
09:48

A Friction Testing-Bioreactor Device for Study of Synovial Joint Biomechanics, Mechanobiology, and Physical Regulation

Published on: June 2, 2022

2.9K

Related Experiment Videos

Last Updated: May 2, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.4K
Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

2.8K
A Friction Testing-Bioreactor Device for Study of Synovial Joint Biomechanics, Mechanobiology, and Physical Regulation
09:48

A Friction Testing-Bioreactor Device for Study of Synovial Joint Biomechanics, Mechanobiology, and Physical Regulation

Published on: June 2, 2022

2.9K

Area of Science:

  • Scientific publishing
  • Scholarly communication

Background:

  • The peer review system is the standard for scientific article evaluation.
  • This system, established in the mid-1800s, has persistent challenges.

Purpose of the Study:

  • To examine the inherent difficulties within the scientific peer review process.
  • To discuss the impact of reviewer burden, motivation, and bias.
  • To consider the potential influence of artificial intelligence on peer review.

Main Methods:

  • Analysis of the historical and current operational aspects of the peer review system.
  • Identification of systemic issues including reviewer workload and potential biases.
  • Exploration of the implications of emerging technologies like AI.

Main Results:

  • Reviewers are volunteers facing significant time and effort demands, leading to delays.
  • Inherent biases among reviewers, authors, editors, and journals can impact the process.
  • Existing methods to mitigate bias, such as blinding, have had limited success.

Conclusions:

  • The traditional peer review system is burdened by volunteer limitations and potential biases.
  • Artificial intelligence presents a transformative, yet uncertain, future for scientific peer review.