ArticleJournal of biomedical discovery and collaboration2006
Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators.
Article in Journal of biomedical discovery and collaboration, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Literature-based discovery: addressing the issue of the subpar evaluation methodology.Bioinformatics (Oxford, England) · 2023Article
- Editorial: Emerging areas in literature-based discovery.Frontiers in research metrics and analytics · 2023Article
- SemNet: Using Local Features to Navigate the Biomedical Concept Graph.Frontiers in bioengineering and biotechnology · 2019Article
- Discovering discovery patterns with Predication-based Semantic Indexing.Journal of biomedical informatics · 2012Article
- Graph-based methods for discovery browsing with semantic predications.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- EpiphaNet: An Interactive Tool to Support Biomedical Discoveries.Journal of biomedical discovery and collaboration · 2010Article
- Arrowsmith two-node search interface: a tutorial on finding meaningful links between two disparate sets of articles in MEDLINE.Computer methods and programs in biomedicine · 2009Article
- Supporting cognition in systems biology analysis: findings on users' processes and design implications.Journal of biomedical discovery and collaboration · 2009Article
- Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.BMC medical genomics · 2009Article
- A scientific collaboration tool built on the facebook platform.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2008Article
- Defrosting the digital library: bibliographic tools for the next generation web.PLoS computational biology · 2008Review
- Anne O'Tate: A tool to support user-driven summarization, drill-down and browsing of PubMed search results.Journal of biomedical discovery and collaboration · 2008Article
- Anni 2.0: a multipurpose text-mining tool for the life sciences.Genome biology · 2008Article
- Frontiers of biomedical text mining: current progress.Briefings in bioinformatics · 2007Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Arrowsmith is a unique computer-assisted strategy designed to assist investigators in detecting biologically-relevant connections between two disparate sets of articles in Medline. This paper describes how an inter-institutional consortium of neuroscientists used the UIC Arrowsmith web interface http://arrowsmith.psych.uic.edu in their daily work and guided the development, refinement and expansion of the system into a suite of tools intended for use by the wider scientific community.
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.