894 research outputs found
Applied Evaluative Informetrics: Part 1
This manuscript is a preprint version of Part 1 (General Introduction and
Synopsis) of the book Applied Evaluative Informetrics, to be published by
Springer in the summer of 2017. This book presents an introduction to the field
of applied evaluative informetrics, and is written for interested scholars and
students from all domains of science and scholarship. It sketches the field's
history, recent achievements, and its potential and limits. It explains the
notion of multi-dimensional research performance, and discusses the pros and
cons of 28 citation-, patent-, reputation- and altmetrics-based indicators. In
addition, it presents quantitative research assessment as an evaluation
science, and focuses on the role of extra-informetric factors in the
development of indicators, and on the policy context of their application. It
also discusses the way forward, both for users and for developers of
informetric tools.Comment: The posted version is a preprint (author copy) of Part 1 (General
Introduction and Synopsis) of a book entitled Applied Evaluative
Bibliometrics, to be published by Springer in the summer of 201
Usage Bibliometrics
Scholarly usage data provides unique opportunities to address the known
shortcomings of citation analysis. However, the collection, processing and
analysis of usage data remains an area of active research. This article
provides a review of the state-of-the-art in usage-based informetric, i.e. the
use of usage data to study the scholarly process.Comment: Publisher's PDF (by permission). Publisher web site:
books.infotoday.com/asist/arist44.shtm
Which cities produce excellent papers worldwide more than can be expected? A new mapping approach--using Google Maps--based on statistical significance testing
The methods presented in this paper allow for a statistical analysis
revealing centers of excellence around the world using programs that are freely
available. Based on Web of Science data, field-specific excellence can be
identified in cities where highly-cited papers were published significantly.
Compared to the mapping approaches published hitherto, our approach is more
analytically oriented by allowing the assessment of an observed number of
excellent papers for a city (in the sample) against the expected number. Using
this test, the approach cannot only identify the top performers in output but
the "true jewels." These are cities locating authors who publish significantly
more top cited papers than can be expected. As the examples in this paper show
for physics, chemistry, and psychology, these cities do not necessarily have a
high output of excellent papers
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