Scientometric Analysis of Sweetpotato Genetics Research, 1960-2022

Gustavo Reis de Brito's dataset contains scientometric analysis records for sweetpotato genetics research. It includes 590 records from Web of Science spanning 1960 to 2022, with 213 full-text papers retained after relevance filtering. The analysis maps research evolution, identifies gaps, and assesses the integration of omics approaches with Traditional Knowledge.

Use Cases

• Analyzing publication trends and prolific contributors in sweetpotato genetics based on the scientometric corpus.
• Identifying research gaps in the application of omics approaches in key producing regions based on the reported 17.8% adoption rate.
• Assessing the operational bridge between genomics and Traditional Knowledge based on scored study-level evidence for farmer materials and participatory methods.

Strengths

• Contains 590 scientometric records from Web of Science covering a 62-year period (1960-2022).
• Provides quantitative analysis of research focus, noting that plant breeding accounts for 43% of studies.
• Includes an assessment of field-relevant measures like yield, adoption rates, and diversity indices alongside omics data.

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 geographic bias inherent to the source, with the United States, China, and Brazil highlighted as top contributors.

Provenance

Source

figshare

Collection Method

Scientometric analysis of Web of Science records.

Time Range

1960 to 2022

Freshness

Last updated 2026-05-12 04:19:05; freshness should be verified.

Geography

Global, with noted contributions from the United States, China, and Brazil.