SciVal provides metrics and analytics on research performance and impact based on Scopus data. It allows users to view metrics for individual researchers, research groups, institutions, and countries. The document discusses the types of metrics available in SciVal including productivity, citation impact, collaboration, disciplinary focus, and influence metrics. It also covers considerations for using and comparing metrics, which depend on factors like publication type, discipline norms, and entity size. Finally, it provides instructions on defining individual researchers and research groups in SciVal for analysis and benchmarking.
2. Why h-indices , citation data, journal impact factor … ?
• to showcase research excellence
• for performance evaluation
• to make strategic decisions
• combining metrics enables triangulation of evidences
• each metric has its strength and weakness
Why metrics?
3. • SciVal is a research intelligence tool
• provides a quick research performance overview for
entities
• research performance metrics are calculated and
visualised
• entirely based on Scopus data
SciVal
4. • SciVal metrics are categorised in to six major groups
1. Productivity Metrics: output volume
2. Citation Impact Metrics: influence
3. Collaboration Metrics: research partnership
4. Disciplinary Metrics: spread of topics
5. Snowball Metrics
6. Power Metrics: Showcasing excellence
Metrics to use
5. • set of standard metrics defined and endorsed by
research intensive universities
• provide holistic approach in addressing different aspect
of performance
• enable benchmarking institutions
• enable to identify strength and weakness of an
institution for strategic and research management
decision
• In SciVal Snowball metrics are indicated by snowflake
symbol
Snowball Metrics
11. • all calculations are dependent on Scopus coverage
• comparing entities needs to
• account for size when using size dependant metrics
• e.g. citation count, publication count
• account for time when using time dependant metrics
• understand discipline’s publishing behaviour
• document types are cited differently
• manipulation: excessive self citation
Considerations for use
14. References
Colledge L. and Verlinde R. 2014. Elsevier Research Intelligence: SciVal
metrics guidebook. Elsevier. Available:
http://www.elsevier.com/__data/assets/pdf_file/0020/53327/sciv
al-metrics-guidebook-v1_01-february2014.pdf [2017, May22]
Elsevier B.V. 2017. Snowball metrics: standardised research metrics –
by the sector for the sector. Available:
https://www.snowballmetrics.com [2017, May 21]
21. • SciVal provides a publication overview of a researcher, research
groups, institutions and countries.
• Collaboration data, article data, economic impact data and others
• Useful if your publications are indexed there.
Overview
36. Philosopher Artist
Defining a researcher
• Log in to Scival
• Go to “Overview”
• In the left hand column, click “Researchers and Groups.”
• Click “Define a new researcher.”
• Enter last, first name and affiliation information
• Click search
• You can “Validate Publications”, if you want to check the
publication list of the author
• Click “Directly go to save the researcher.”
• Save and finish
• If desired, select a different time period from the drop time
list
37. Defining a new group
• Once researchers have been added to Scival, they
can be combined into groups – to represent
departments or research teams.
• Click “Define a new group of researcher.”
• Drag and drop to the name to the right hand side
• Give the group a name
• Drag and drop the desired researcher names above
each name
• Save and finish
52. Compare and benchmark your Institution to other Institutions,
Researchers and Groups of Researchers using a variety of metrics.
53.
54. An example of another
university (Athena)
Biomedical and health
informatics
Biostatistics
UK
From 1996-2014
They chose as metric:
Views per publication