Unexpected aberrant data patterns on slope graphs to examine article characteristics: Say good-bye to the burst bar chart in bibliometrics.

ABSTRACT: The rise of bibliometrics is closely linked to visualization tools. However, visuals produced by these tools often lack clarity and offer limited valuable information. There is a need for a comprehensive method that concisely describes key article metadata and highlights unexpected aberrant data patterns (UADPs) on slope graphs instead of traditional burst bar charts in CiteSpace. This study examined metadata from 26,555 articles in the journal ``Heliyon'' sourced from the Web of Science Core Collection. It assessed metrics and impacts across 10 critical metadata aspects, using the Rasch model to identify UADP displayed on slope graphs. The performance analytics, summary reports, and visual validations model, with performance analytics, summary reports, and visual validations, was applied

SUBMITTER: Lim SW 

PROVIDER: S-EPMC12401247 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature