The speed of information propagation in the scientific network distorts biomedical research
Open Access
Abstract
Delays in the propagation of scientific discoveries across scientific communities have been an oft-maligned feature of scientific research for introducing a bias towards knowledge that is produced within a scientist's closest community. The vastness of the scientific literature has been commonly blamed for this phenomenon, despite recent improvements in information retrieval and text mining. Its actual negative impact on scientific progress, however, has never been quantified. This analysis attempts to do so by exploring its effects on biomedical discovery, particularly in the discovery of relations between diseases, genes and chemical compounds. Results indicate that the probability that two scientific facts will enable the discovery of a new fact depends on how far apart these two facts were originally within the scientific landscape. In particular, the probability decreases exponentially with the citation distance. Thus, the direction of scientific progress is distorted based on the location in which each scientific fact is published, representing a path-dependent bias in which originally closely-located discoveries drive the sequence of future discoveries. To counter this bias, scientists should open the scope of their scientific work with modern information retrieval and extraction approaches.Keywords
All Related Versions
This publication has 44 references indexed in Scilit:
- The path- and place-dependent nature of scientific knowledge production in biotech 1986-2008Journal of Economic Geography, 2013
- Detecting Communities through Network DataAmerican Sociological Review, 2012
- Entrez Gene: gene-centered information at NCBINucleic Acids Research, 2010
- Literature Mining for the Discovery of Hidden Connections between Drugs, Genes and DiseasesPLOS Computational Biology, 2010
- The rate of growth in scientific publication and the decline in coverage provided by Science Citation IndexScientometrics, 2010
- Systems medicine: the future of medical genomics and healthcareGenome Medicine, 2009
- Systems Thinking to Improve the Public's HealthAmerican Journal of Preventive Medicine, 2008
- “If only HP knew what HP knows”: the roots of knowledge management at Hewlett‐PackardJournal of Knowledge Management, 1999
- Structural analysis of hypertextsACM Transactions on Information Systems, 1992
- Undiscovered Public KnowledgeThe Library Quarterly, 1986