  Attempts to understand the consequence of any individual scientist's activity
within the long-term trajectory of science is one of the most difficult
questions within the philosophy of science. Because scientific publications
play such as central role in the modern enterprise of science, bibliometric
techniques which measure the ``impact'' of an individual publication as a
function of the number of citations it receives from subsequent authors have
provided some of the most useful empirical data on this question. Until
recently, Thompson/ISI has provided the only source of large-scale ``inverted''
bibliographic data of the sort required for impact analysis. In the end of
2004, Google introduced a new service, GoogleScholar, making much of this same
data available. Here we analyze 203 publications, collectively cited by more
than 4000 other publications. We show surprisingly good agreement between data
citation counts provided by the two services. Data quality across the systems
is analyzed, and potentially useful complementarities between are considered.
The additional robustness offered by multiple sources of such data promises to
increase the utility of these measurements as open citation protocols and open
access increase their impact on electronic scientific publication practices.
