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
Cognition
Health
Physical Education and Training
Research
Randomized Controlled Trials
Wheelchairs
Brain
Food
Meta-Analysis
Obesity
Students
Survivors
Gait
Population
Quality of Life
Depression
Education
Physical Fitness
Skeletal Muscle
Young Adult
Hispanic Americans
Aptitude
Fatigue
Anxiety
Psychology
African Americans
Breast Neoplasms
Diet
Muscles
Rehabilitation
Resistance Training
Executive Function
Equipment and Supplies
Eating
Body Mass Index
Leisure Activities
Independent Living
Life Style
Interviews
Learning
Weights and Measures
Health Promotion
Motivation
Vegetables
Accelerometry
Counseling
Demography
Personality
Muscle Proteins
Fats
Technology
Disabled Persons
Wounds and Injuries
Costs and Cost Analysis
Confidence Intervals
Neoplasms
Vocational Rehabilitation
Health Behavior
Public Health
Reproducibility of Results
Self Report
Sports
Adiposity
Firefighters
Sleep
Spinal Cord Injuries
Cross-Sectional Studies
Body Composition
Guidelines
Relapsing-Remitting Multiple Sclerosis
Outcome Assessment (Health Care)
Delivery of Health Care
Leg
Fruit
Chronic Disease
Task Performance and Analysis
Social Support
Psychometrics
Heart Rate
Emotions
Statistical Factor Analysis
Exercise Test
Mental Health
Yoga
Therapeutics
Health Status
Body Weight
Inflammation
Evoked Potentials
Pediatric Obesity
Maintenance
Research Personnel
Renal Dialysis
Longitudinal Studies
Individuality
Accidental Falls

Social Sciences

physical education
teacher
health