ReviewThe Biochemical journal2009
Calling International Rescue: knowledge lost in literature and data landslide!
Review in The Biochemical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Automated Sleep Stage Classification Using PSO-Optimized LSTM on CAP EEG Sequences.Brain sciences · 2025Article
- Rethinking the production and publication of machine-readable expressions of research findings.Scientific data · 2025Article
- Biological databases in the age of generative artificial intelligence.Bioinformatics advances · 2025Article
- Article
- Knowledge and Attitudes Among Life Scientists Toward Reproducibility Within Journal Articles: A Research Survey.Frontiers in research metrics and analytics · 2021Article
- Openness and trust in data-intensive science: the case of biocuration.Medicine, health care, and philosophy · 2020Article
- Generation of open biomedical datasets through ontology-driven transformation and integration processes.Journal of biomedical semantics · 2016Article
- Biomolecular Relationships Discovered from Biological Labyrinth and Lost in Ocean of Literature: Community Efforts Can Rescue Until Automated Artificial Intelligence Takes Over.Frontiers in genetics · 2016Article
- Data integration in biological research: an overview.Journal of biological research (Thessalonike, Greece) · 2015Review
- Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications.Journal of biomedical semantics · 2014Article
- An analysis of a 'community-driven' reconstruction of the human metabolic network.Metabolomics : Official journal of the Metabolomic Society · 2013Article
- Analyzing large biological datasets with association networks.Nucleic acids research · 2012Article
- Open semantic annotation of scientific publications using DOMEO.Journal of biomedical semantics · 2012Article
- Scientific discovery as a combinatorial optimisation problem: how best to navigate the landscape of possible experiments?BioEssays : news and reviews in molecular, cellular and developmental biology · 2012Article
- Gauging triple stores with actual biological data.BMC bioinformatics · 2012Article
- Drug design for ever, from hype to hope.Journal of computer-aided molecular design · 2012Article
- NucleaRDB: information system for nuclear receptors.Nucleic acids research · 2012Article
- Integrating GPCR-specific information with full text articles.BMC bioinformatics · 2011Article
- Toward an interactive article: integrating journals and biological databases.BMC bioinformatics · 2011Article
- Towards BioDBcore: a community-defined information specification for biological databases.Nucleic acids research · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
We live in interesting times. Portents of impending catastrophe pervade the literature, calling us to action in the face of unmanageable volumes of scientific data. But it isn't so much data generation per se, but the systematic burial of the knowledge embodied in those data that poses the problem: there is so much information available that we simply no longer know what we know, and finding what we want is hard - too hard. The knowledge we seek is often fragmentary and disconnected, spread thinly across thousands of databases and millions of articles in thousands of journals. The intellectual energy required to search this array of data-archives, and the time and money this wastes, has led several researchers to challenge the methods by which we traditionally commit newly acquired facts and knowledge to the scientific record. We present some of these initiatives here - a whirlwind tour of recent projects to transform scholarly publishing paradigms, culminating in Utopia and the Semantic Biochemical Journal experiment. With their promises to provide new ways of interacting with the literature, and new and more powerful tools to access and extract the knowledge sequestered within it, we ask what advances they make and what obstacles to progress still exist? We explore these questions, and, as you read on, we invite you to engage in an experiment with us, a real-time test of a new technology to rescue data from the dormant pages of published documents. We ask you, please, to read the instructions carefully. The time has come: you may turn over your papers...
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.