Three different types of bibliometrics - literature bibliometrics, pat
ent bibliometrics, and linkage bibliometric can all be used to address
various government performance and results questions. Applications of
these three bibliometric types will be described within the framework
of Weinberg's internal and external criteria, whether the work being
done is good science, efficiently and effectively done, and whether it
is important science from a technological viewpoint. Within all bibli
ometrics the fundamental assumption is that the frequency with which a
set of papers or patents is cited is a measure of the impact or influ
ence of the set of papers. The literature bibliometric indicators are
counts of publications and citations received in the scientific litera
ture and various derived indicators including such phenomena as cross-
sectoral citation, coauthorship and concentration within influential j
ournals. One basic observation of literature bibliometrics, which carr
ies over to patent bibliometrics, is that of highly skewed distributio
ns - with a relatively small number of high-impact patents and papers,
and large numbers of patents and papers of minimal impact. The key me
asure is whether an agency is producing or supporting highly cited pap
ers and patents. The final set of data are in the area of linkage bibl
iometrics, looking at citations from patents to scientific papers. The
se are particularly relevant to the external criteria, in that it is q
uire obvious that institutions and supporting agencies whose papers ar
e highly cited in patents are making measurable contributions to a nat
ion's technological progress.