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Organizational Learning At NASA: The Challenger And Columbia Accidents
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Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data
In this study, we address the question whether (and to what extent,
respectively) altmetrics are related to the scientific quality of papers (as
measured by peer assessments). Only a few studies have previously investigated
the relationship between altmetrics and assessments by peers. In the first
step, we analyse the underlying dimensions of measurement for traditional
metrics (citation counts) and altmetrics - by using principal component
analysis (PCA) and factor analysis (FA). In the second step, we test the
relationship between the dimensions and quality of papers (as measured by the
post-publication peer-review system of F1000Prime assessments) - using
regression analysis. The results of the PCA and FA show that altmetrics operate
along different dimensions, whereas Mendeley counts are related to citation
counts, and tweets form a separate dimension. The results of the regression
analysis indicate that citation-based metrics and readership counts are
significantly more related to quality, than tweets. This result on the one hand
questions the use of Twitter counts for research evaluation purposes and on the
other hand indicates potential use of Mendeley reader counts
Climate Change Research in View of Bibliometrics
This bibliometric study of a large publication set dealing with research on
climate change aims at mapping the relevant literature from a bibliometric
perspective and presents a multitude of quantitative data: (1) The growth of
the overall publication output as well as (2) of some major subfields, (3) the
contributing journals and countries as well as their citation impact, and (4) a
title word analysis aiming to illustrate the time evolution and relative
importance of specific research topics. The study is based on 222,060 papers
published between 1980 and 2014. The total number of papers shows a strong
increase with a doubling every 5-6 years. Continental biomass related research
is the major subfield, closely followed by climate modeling. Research dealing
with adaptation, mitigation, risks, and vulnerability of global warming is
comparatively small, but their share of papers increased exponentially since
2005. Research on vulnerability and on adaptation published the largest
proportion of very important papers. Research on climate change is
quantitatively dominated by the USA, followed by the UK, Germany, and Canada.
The citation-based indicators exhibit consistently that the UK has produced the
largest proportion of high impact papers compared to the other countries
(having published more than 10,000 papers). The title word analysis shows that
the term climate change comes forward with time. Furthermore, the term impact
arises and points to research dealing with the various effects of climate
change. Finally, the term model and related terms prominently appear
independent of time, indicating the high relevance of climate modeling.Comment: 40 pages, 6 figures, and 4 table
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