ArticleScientific data2023
SciSciNet: A large-scale open data lake for the science of science research.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed.
- Article
- COVID-19 education policy often relied on older research despite available new evidence.STAR protocols · 2026Article
- Bipartisan-cited science is rare, unevenly distributed, and disproportionately influential.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Uncovering simultaneous breakthroughs with a robust measure of disruptiveness.Science advances · 2026Article
- Privacy rights and improving knowledge are not hierarchical needs: data protection and good epidemiologic standard (DP_GOES) checklist for retrospective observational studies using secondary data.BMC medical research methodology · 2026Article
- SciSciGPT: advancing human-AI collaboration in the science of science.Nature computational science · 2026Article
- A dataset of scientific citations in U.S. patent Office Actions.Scientific data · 2026Article
- Article
- Activity constraints and the emergence of non-scale-free networks: Evidence from hip-hop and academia.PloS one · 2026Article
- How does academia recognize the contribution of scientific data? Evidence from data contributors' authorship.Scientific data · 2025Article
- Article
- An open dataset of EurekAlert! press releases for science communication research.Scientific data · 2025Article
- Tenure and research trajectories.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science.Scientific data · 2025Article
- The power of social talk: A longitudinal network analysis of conversations in fostering interdisciplinary collaboration.Journal of clinical and translational science · 2025Article
- Quantifying the use and potential benefits of artificial intelligence in scientific research.Nature human behaviour · 2024Article
- Publication, funding, and experimental data in support of Human Reference Atlas construction and usage.Scientific data · 2024Article
- Productive scientists are associated with lower disruption in scientific publishing.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- SciSciNet: A large-scale open data lake for the science of science research.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The science of science has attracted growing research interests, partly due to the increasing availability of large-scale datasets capturing the innerworkings of science. These datasets, and the numerous linkages among them, enable researchers to ask a range of fascinating questions about how science works and where innovation occurs. Yet as datasets grow, it becomes increasingly difficult to track available sources and linkages across datasets. Here we present SciSciNet, a large-scale open data lake for the science of science research, covering over 134M scientific publications and millions of external linkages to funding and public uses. We offer detailed documentation of pre-processing steps and analytical choices in constructing the data lake. We further supplement the data lake by computing frequently used measures in the literature, illustrating how researchers may contribute collectively to enriching the data lake. Overall, this data lake serves as an initial but useful resource for the field, by lowering the barrier to entry, reducing duplication of efforts in data processing and measurements, improving the robustness and replicability of empirical claims, and broadening the diversity and representation of ideas in the field.
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.