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.
Medicine & Life Sciences
Exercise
Multiple Sclerosis
Self Efficacy
Walking
Physical Education and Training
Cognition
Cancer Survivors
Health
Child
Accidental Falls
Randomized Controlled Trials
Wheelchairs
Brain
Systematic Reviews
Students
Cardiorespiratory Fitness
Obesity
Gait
Meta-Analysis
Skeletal Muscle
Food
Depression
Young Adult
Quality of Life
Sedentary Behavior
Diet
Evoked Potentials
Population
Memory
Motivation
Anxiety
Education
Psychology
Muscles
Overweight
Fatigue
African Americans
Breast Neoplasms
Teacher Training
Muscle Proteins
Hispanic Americans
Physical Functional Performance
Vegetables
Resistance Training
Rehabilitation
Physical Fitness
Eating
Executive Function
Equipment and Supplies
Leisure Activities
Semantics
Elderly
Weights and Measures
Personality
Costs and Cost Analysis
Demography
Vocational Rehabilitation
Cognitive Dysfunction
Fats
Technology
Learning
Fruit
Disabled Persons
Body Mass Index
Accelerometry
Adiposity
Life Style
Public Health
Renal Dialysis
Independent Living
Counseling
Pediatric Obesity
Walking Speed
Spinal Cord Injuries
Statistical Factor Analysis
Teaching
Sports
Guidelines
Interviews
Relapsing-Remitting Multiple Sclerosis
European Continental Ancestry Group
Health Promotion
Emotions
Self Report
Leg
Proteins
Wounds and Injuries
Sleep
Confidence Intervals
Aptitude
Academic Success
Cross-Sectional Studies
Socialization
Reaction Time
Yoga
Nutrients
Health Behavior