ArticleScientific data2025
STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With the rapid development of the economy, the linkages among science, technology, and industry have become increasingly close, and more and more study focus on the binary or ternary interactions among the three. However, the different datasets and fields used in previous studies make it difficult to directly compare and synthesize research results. This further affects the comprehensive understanding of the binary and ternary interactions among science, technology, and industry. Therefore, this paper constructs a multi-source integrated dataset covering science, technology, and industry information based on the DrugBank database. Our dataset is named as STInt (Science-Technology-Industry interactions), which covers document entities, researcher entities, organization entities, and classification entities, and contains rich semantic relationships among them. In addition, STInt is freely available at Figshare, and stored as a MySQL database and make it openly available on GitHub. Our STInt dataset will be useful for conducting research on the binary or ternary linkages among science, technology, and industry, and for gaining a deeper understanding of the developmental patterns in the pharmaceutical field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.