ArticleComputer methods and programs in biomedicine2009
Arrowsmith two-node search interface: a tutorial on finding meaningful links between two disparate sets of articles in MEDLINE.
Article in Computer methods and programs in biomedicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
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- Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models.BMC bioinformatics · 2023Article
- Research hotspots and trends of microRNAs in intervertebral disc degeneration: a comprehensive bibliometric analysis.Journal of orthopaedic surgery and research · 2023Article
- Comprehensive bibliometric analysis of sirtuins: Focus on sirt1 and kidney disease.Frontiers in pharmacology · 2022Article
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- Exploration of Shared Themes Between Food Security and Internet of Things Research Through Literature-Based Discovery.Frontiers in research metrics and analytics · 2021Article
- Tracking and Mining the COVID-19 Research Literature.Frontiers in research metrics and analytics · 2020Article
- PubTerm: a web tool for organizing, annotating and curating genes, diseases, molecules and other concepts from PubMed records.Database : the journal of biological databases and curation · 2019Article
- Ketamine: A Neglected Therapy for Alzheimer Disease.Frontiers in aging neuroscience · 2019Article
- MELODI: Mining Enriched Literature Objects to Derive Intermediates.International journal of epidemiology · 2018Article
- MOLIERE: Automatic Biomedical Hypothesis Generation System.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2017Article
- Gaps within the Biomedical Literature: Initial Characterization and Assessment of Strategies for Discovery.Frontiers in research metrics and analytics · 2017Article
- Knowledge-based biomedical Data Science.EPJ data science · 2017Article
- Context-driven automatic subgraph creation for literature-based discovery.Journal of biomedical informatics · 2015Article
- Trends in the chemical and pharmacological research on the tropical treesScientometrics · 2015Article
- Mammalian Argonaute-DNA binding?Biology direct · 2014Article
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- How many scientists does it take to change a paradigm? New ideas to explain scientific observations are everywhere--we just need to learn how to see them.EMBO reports · 2013Article
- Studying PubMed usages in the field for complex problem solving: Implications for tool design.Journal of the American Society for Information Science and Technology : JASIST · 2013Article
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
The Arrowsmith two-node search is a strategy that is designed to assist biomedical investigators in formulating and assessing scientific hypotheses. More generally, it allows users to identify biologically meaningful links between any two sets of articles A and C in PubMed, even when these share no articles or authors in common and represent disparate topics or disciplines. The key idea is to relate the two sets of articles via title words and phrases (B-terms) that they share. We have created a free, public web-based version of the two-node search tool (http://arrowsmith.psych.uic.edu), have described its development and implementation, and have presented analyses of individual two-node searches. In this paper, we provide an updated tutorial intended for end-users, that covers the use of the tool for a variety of potential scientific use case scenarios. For example, one can assess a recent experimental, clinical or epidemiologic finding that connects two disparate fields of inquiry--identifying likely mechanisms to explain the finding, and choosing promising follow-up lines of investigation. Alternatively, one can assess whether the existing scientific literature lends indirect support to a hypothesis posed by the user that has not yet been investigated. One can also employ two-node searches to search for novel hypotheses. Arrowsmith provides a service that cannot be carried out feasibly via standard PubMed searches or by other available text mining tools.
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.