Thappa, Monika at Harvard Dataverse published a study on 2026-04-27 analyzing the online visibility of Data Management and Data Science research. The dataset examines the top 1,000 articles from 2024 based on Altmetric Attention Score, covering 12 social and web platforms. It assesses platform diversity and access types, finding 83% of articles were open access.
Use Cases
- Analyzing cross-platform attention patterns for high-visibility research based on Altmetric scores and platform mentions.
- Investigating the relationship between open access status and online visibility based on reported Gold OA prevalence.
- Comparing platform diversity and balance across different journals using the described Gini-Simpson and Pielou's Evenness indices.
- Identifying public interest trends in AI topics based on the most visible article concerning hallucination detection.
Strengths
- Focuses on the top 1,000 articles from a specific year (2024), providing a defined scope.
- Covers attention across 12 distinct platforms, including Mendeley, X, and news media.
- Includes analysis of 315 journals, with specific leaders like PLOS ONE and Nature Communications identified.
- Reports concrete metrics: 83% open access rate, with 57% Gold OA.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect temporal bias inherent to the 2024 publication window and platform data availability.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Data retrieved using Altmetric Explorer.
- Time Range
- 2024
- Freshness
- Last updated 2026-04-27 16:55:01; freshness should be verified.
- Geography
- null