[Sigmetrics] CRExplorer

[Bornmann, Lutz]

Dear colleague,

 

We have published a new version of the CRExplorer which you can download at
<http://www.crexplorer.net> www.crexplorer.net (including the handbook). The
CRExplorer uses data from Web of Science (Clarivate Analytics) or Scopus
(Elsevier) as input. Publication sets have to be downloaded including the
references cited. The program focusses on the analysis of the cited
references, in particular on the referenced publication years. The
CRExplorer can be used to answer questions, such as: which are the most
important papers in the history of a field? On whose shoulders of giants
does an author stand? Where to look for the intellectual roots of a research
topic? 

 

The new version includes the following new features and improvements:

 

*	Sequence: To reveal impact sequences over time for cited references,
cited references are classified as on average ("0"), above average ("+"),
and below average ("-") citation impact in citing years. The benchmark is
the mean citation impact of all other cited references published in the same
year. For example, the sequence [---+++000] means that the cited reference
has been cited below average in the first three citing years, above average
in the next three years, and on average in the last three citing years.
*	Types of sequences: The sequences are used to identify specific
types in terms of the symbols ("+", "-", "0"). The types are labelled as
follows: sleeping beauty with low or no citation impact over a longer
initial period and high citation impact later; constant performer with a
constant and considerable amount of citation impact over time; hot paper
with high citation impact directly after the publication and low citation
impact later; life cycle with very different citation impact across the
citing years.
*	Samples: In many cases, the full dataset from Web of Science or
Scopus (the population) cannot be completely imported in the program because
the available memory on the computer is restricted. Thus, the user has the
new option to reduce the dataset by loading only a sample from the
population. Three samples can be drawn from the population: random,
systematic, or cluster sample.
*	Script language: CRExplorer provides a tailored script language that
allows the application of the most important functions. This can be useful
for recurring experiments using different data sets or for processing large
volumes of data. Users can execute scripts from the command line. The use of
the script language is explained in the handbook. 

 

Some new features are also explained in this paper:
https://arxiv.org/abs/1801.08720

 

Best,

Lutz

 

---------------------------------------

 

Dr. Dr. habil. Lutz Bornmann

Division for Science and Innovation Studies

Administrative Headquarters of the Max Planck Society

Hofgartenstr. 8

80539 Munich

Tel.: +49 89 2108 1265

Mobil: +49 170 9183667

Email:  <mailto:bornmann at gv.mpg.de> bornmann at gv.mpg.de

WWW:  <http://www.lutz-bornmann.de/> www.lutz-bornmann.de

ResearcherID:  <http://www.researcherid.com/rid/A-3926-2008>
http://www.researcherid.com/rid/A-3926-2008

ResearchGate:  <http://www.researchgate.net/profile/Lutz_Bornmann>
http://www.researchgate.net/profile/Lutz_Bornmann

 

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