General Metrics#
>>> from techminer2.metrics import general_metrics
>>> info = general_metrics(
... #
... # DATABASE PARAMS:
... root_dir="example/",
... database="main",
... year_filter=(None, None),
... cited_by_filter=(None, None),
... )
>>> info.df_
Value
Category Item
GENERAL Timespan 2015:2019
Documents 50
Annual growth rate % 118.67
Document average age 5.24
References 1275
Average citations per document 162.7
Average citations per document per year 32.54
Average references per document 26.02
Sources 41
Average documents per source 1.22
DOCUMENT TYPES Article 37
Book 1
Conference paper 4
Editorial 2
Review 6
AUTHORS Authors 115
Authors of single-authored documents 12
Single-authored documents 12
Multi-authored documents 38
Authors per document 2.52
Co-authors per document 3.0
International co-authorship % 30.61
Author appearances 126
Documents per author 0.4
Collaboration index 1.0
Organizations 91
Organizations (1st author) 43
Countries 24
Countries (1st author) 18
KEYWORDS Raw author keywords 148
Cleaned author keywords 148
Raw index keywords 179
Cleaned index keywords 179
Raw keywords 279
Cleaned keywords 279
NLP PHRASES Raw title NLP phrases 124
Cleaned title NLP phrases 124
Raw abstract NLP phrases 1461
Cleaned abstract NLP phrases 1461
Raw NLP phrases 1501
Cleaned NLP phrases 1501
DESCRIPTORS Raw descriptors 1668
Cleaned descriptors 1668
>>> info.fig_.write_html("sphinx/_static/analyze/overview/general_metrics.html")
>>> print(info.prompt_)
Your task is ...