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Review
. 2016 Aug 5;5(1):1266.
doi: 10.1186/s40064-016-2888-8. eCollection 2016.

A preliminary review of influential works in data-driven discovery

Mark Stalzer  1 , Chris Mentzel  1
Affiliations
Review

A preliminary review of influential works in data-driven discovery

Mark Stalzer et al. Springerplus. .

Abstract

The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1100 applications and each applicant had the opportunity to list up to five influential works in the general field of "Big Data" for scientific discovery. We collected nearly 5000 references and 53 works were cited at least six times. This paper contains our preliminary findings.

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Figures

Fig. 1
Fig. 1
Fit of the influential works to a power law (x is index, y is count). The correlation coefficient is R2=0.989
See this image and copyright information in PMC

References

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