Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators
2006

Development of the Arrowsmith Two Node Search Interface

Sample size: 125 publication Evidence: moderate

Author Information

Author(s): Smalheiser Neil R, Torvik Vetle I, Bischoff-Grethe Amanda, Burhans Lauren B, Gabriel Michael, Homayouni Ramin, Kashef Alireza, Martone Maryann E, Perkins Guy A, Price Diana L, Talk Andrew C, West Ruth

Primary Institution: University of Illinois

Hypothesis

Can the Arrowsmith tool assist biomedical investigators in detecting biologically-relevant connections between disparate sets of articles?

Conclusion

The Arrowsmith tool has been successfully developed and refined to assist researchers in linking different literatures, leading to new scientific discoveries.

Supporting Evidence

  • Over 125 different searches were entered and analyzed by field testers.
  • The Arrowsmith tool has been widely analyzed and discussed by the information science community.
  • Field testers reported that the tool helped them identify new research directions.
  • Field testers contributed to the development and refinement of the Arrowsmith tool.

Takeaway

The Arrowsmith tool helps scientists find connections between different research articles, which can lead to new ideas and discoveries.

Methodology

Field testers from various neuroscience research groups used the Arrowsmith tool in their daily work to conduct searches and document outcomes.

Potential Biases

Field testers may have been influenced in their search strategies by their familiarity with their own research areas.

Limitations

The study did not assess the performance of the Arrowsmith tool at any given point in time.

Participant Demographics

Field testers included graduate students, postdocs, staff scientists, and principal investigators from diverse neuroscience research groups.

Digital Object Identifier (DOI)

10.1186/1747-5333-1-8

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