Fingerprint The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents - publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.
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Social Sciences
librarian
resources
editor
student
literacy
Internet
electronics
instruction
librarianship
music
learning
management
chat
Values
cultural heritage
staff
archivist
Teaching
best practice
transaction
website
workflow
loan
university
trend
community
education
Puerto Rico
information science
experience
planning
methodology
gray literature
profession
museum
search engine
interview
information-seeking behavior
graduate
engineering
science
communication
earning a doctorate
grant
present
evaluation
disaster
interdisciplinary research
Poland
bibliography
management counsulting
social science
Sports
instructor
veterinary medicine
purchase
interest group
organization
Group
women's studies
Middle East
examination
history
certification
staffing
gender studies
coverage
classroom
newspaper
language
budget
functionality
workstation
automation
costs
vocabulary
innovation
open access
lack
expertise
nursing
Engineering & Materials Science
Metadata
Digital libraries
Students
Websites
XML
Museums
Information management
Internet
Online conferencing
Teaching
Availability
Communication
World Wide Web