This paper provides a comprehensive review of more than 120 social
science studies in nanoscience and technology, all of which analyze
publication and patent data. We conduct a comparative analysis of
bibliometric search strategies that these studies use to harvest
publication and patent data related to nanoscience and technology. We
implement these strategies on the 2006 publication data and find that
Mogoutov and Kahane (2007) [Mogoutov, A. and B. Kahane, 2007. Data
search strategy for science and technology emergence: A scalable and
evolutionary query for nanotechnology tracking. Research Policy, 36:
893–903.], with their evolutionary lexical query search strategy,
extract the highest number of records from the Web of Science. The
strategies of Glanzel et al. (2003) [Glanzel, W., et al., 2003.
Nanotechnology: Analysis of an Emerging Domain of Scientific and
Technological Endeavour. Steunpunt O&O Statistieken, Report. Leuven:
K.U. Leuven.], Noyons et al. (2003) [Noyons, E.C.M., et al., 2003.
Mapping excellence in science and technology across Europe Nanoscience
and nanotechnology. Draft report of project EC-PPN CT-2002-2001 to the
European Commission.], Porter et al. (2008) [Porter, A.L. et al., 2008.
Refining search terms for nanotechnology. Journal of Nanoparticle
Research, 10(5):715-728.] and Mogoutov and Kahane (2007) produce very
similar ranking tables of the top ten nanotechnology subject areas and
the top ten most prolific countries and institutions.
Key words : Nanotechnology; research and development; productivity; publications; patents; bibliometric analysis; searching strategy
JEL Classification : O14; O31
UNU-MERIT Working Papers ISSN 1871-9872