Name
Title | ||
|---|---|---|
Normalizing the measurement of citation performance: Principles for comparing sets of documents |
Abstract | ||
|---|---|---|
Using citation analysis, sets of documents can be compared as independent
samples; for example, in terms of average citation counts using potentially
different reference sets. From this perspective, the size of samples matters
only for the identification of significant differences and estimating margins
of error. Using the percentile rank approach, differences among citation
distributions can be studied non-parametrically and in a single scheme.
Comparison among the sets clarifies that the different sizes of samples affect
the weighing of the probabilities and therefore the rankings. We distinguish
among (1) the normalization of papers against external reference sets, (2)
normalization in terms of frequencies relative to the margin-totals of
independent versus dependent samples, and (3) the potentially normative
definition of percentile rank classes for the evaluation (e.g., top-1% most
highly cited, median, etc.). When the sets to be evaluated are considered as
subsamples of a single sample, the consequent citation indicator can be
negatively correlated to citation indicators used hitherto. |
Year | Venue | Keywords |
|---|---|---|
2011 | Clinical Orthopaedics and Related Research | potential difference,citation analysis |
Field | DocType | Volume |
Data science,Data mining,Normalization (statistics),Normative,Computer science,Citation,Citation analysis,Percentile rank | Journal | abs/1101.3 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loet Leydesdorff | 1 | 4987 | 381.86 |
| lutz bornmann | 2 | 3124 | 279.75 |
| Ruediger Mutz | 3 | 666 | 39.58 |
| Tobias Opthof | 4 | 381 | 23.49 |