lifeCycle

Estimates logistic growth model for annual (non-cumulative) publications
following Meyer et al. (1999) methodology

Tool for quantitative research in scientometrics and bibliometrics.
It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and
Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>.
'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS',
'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions'
(<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>),
and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis
and building networks for co-citation, coupling, scientific collaboration and co-word analysis.

Massimo Aria

bibliometrix

Comprehensive Science Mapping Analysis

Corrado Cuccurullo

lifeCycle function

<dl><dt>data</dt>
<dd>Data frame with columns: year (PY) and number of publications (n)</dd>
<dt>forecast_years</dt>
<dd>Number of years to forecast beyond saturation</dd>
<dt>plot</dt>
<dd>Logical, if TRUE produces plots</dd>
<dt>verbose</dt>
<dd>Logical, if TRUE prints detailed output</dd></dl>

Arguments

Life Cycle Analysis with Logistic Growth Model — lifeCycle

<dl>

<dt>data</dt>
<dd>Data frame with columns: year (PY) and number of publications (n)</dd>


<dt>forecast_years</dt>
<dd>Number of years to forecast beyond saturation</dd>


<dt>plot</dt>
<dd>Logical, if TRUE produces plots</dd>


<dt>verbose</dt>
<dd>Logical, if TRUE prints detailed output</dd>

</dl>

lifeCycle: Life Cycle Analysis with Logistic Growth Model

Description

Usage

Value

Arguments