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

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

Social Sciences

health
physical education
teacher