Sweet Spots for Manuscripts: Highlighting Scientific Results


STEP 1: Upload your file

Upload a file exported from Scopus

STEP 2: Filter the results

Sweet Spots for Manuscripts: Highlighting Scientific Results

Sweet Spots for Manuscripts: Highlighting Scientific Results

Sweet Spots for Manuscripts: Highlighting Scientific Results

Sweet Spots for Manuscripts: Highlighting Scientific Results

Objetive

Sweet Sports for Manuscripts (SSfM) has the primary purpose of aiding scholars in the search for journals where to publish their research. Additionally, SSfM can be used to assess the research of individuals, groups, or institutions.

Input

SSfM feeds off the search results from Scopus and uses for processing the data from the SCImago Journal & Country Rank portal. You must download from the Scopus database a file with a bib extension that contains the data to be modeled. This file is the input for SSfM.

Chart

In the main SSfM chart, every circle represents a journal that is within the data uploaded to the application.

  • The size indicates the number of articles in a journal from the uploaded data
  • The color depends on the best quartile SJR of the journal: Green signifies Q1, Yellow signifies Q2, Orange signifies Q3, and Red signifies Q4
  • The position on the X-axis is the logarithm of the SJR of the journal
  • The position on the Y-axis is the logarithm of the total of documents published in the journal the last year

Decision Tree

SSfM calculates a decision tree to predict the level of citations of the articles in the input file.

  • The level of citations is considered low = 0, medium between 1 to 9, and high >= 10
  • The model is pruned to obtain the minimum levels and the highest prediction ratio
  • Cross-validation is used to evaluate the model
  • The result is only presented if there is a minimum data for the evaluation

Author

Patricio Ramirez Correa (patricio.ramirez@ucn.cl)