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