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Related Concept Videos

Types of Selection01:46

Types of Selection

Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
Goodness-of-Fit Test01:16

Goodness-of-Fit Test

The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
Journal Bearings01:23

Journal Bearings

Journal bearings are mechanical components that support and provide lateral stability to rotating shafts and axles. They are crucial in reducing friction, wear, and vibration in machinery such as engines, turbines, and pumps. The principle behind journal bearings is forming a thin lubricant film between the bearing surface and the rotating shaft, which minimizes direct contact and reduces frictional forces.
To better understand the concept of journal bearings, consider a rope winch with dry or...
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...

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Related Experiment Video

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A Quantitative Fitness Analysis Workflow
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Jot: guiding journal selection with suitability metrics.

Stephen G Gaffney1, Jeffrey P Townsend2

  • 1stephen.gaffney@yale.edu, Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT.

Journal of the Medical Library Association : JMLA
|January 2, 2023
PubMed
Summary

Jot is a new, free, open-source tool that helps biomedical researchers find suitable journals for their manuscripts. It analyzes manuscript details and journal data, offering interactive visualizations for informed decisions.

Keywords:
Journal selectionbibliometricsdata integrationopen access publishingopen source softwarescientific publishingvisualizationweb application

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Area of Science:

  • Biomedicine and Life Sciences
  • Scholarly Publishing
  • Bibliometrics

Background:

  • Manuscript submission requires careful journal selection, a complex decision for researchers.
  • Existing journal finder tools have limitations in data scope and functionality, and are not open source.

Purpose of the Study:

  • To introduce Jot, a novel, free, and open-source web application for matching manuscripts to suitable journals.
  • To address the shortcomings of current journal selection tools by providing comprehensive data and interactive exploration.

Main Methods:

  • Jot utilizes manuscript title, abstract, and optional citations to identify appropriate journals.
  • The application gathers extensive data on journal quality, impact, relevance, and open access policies.

Main Results:

  • Jot provides a dashboard with linked, interactive visualizations for exploring journal information.
  • The tool facilitates informed decision-making for researchers in biomedicine and life sciences.

Conclusions:

  • Jot offers a valuable, open-source solution for journal selection in scientific publishing.
  • The application enhances the manuscript submission process through data-driven insights and user-friendly exploration.