SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© Thomson Reuters Journal Citation Reports 2015
To calculate the five year Impact Factor, citations are counted in 2014 to the previous five years and divided by the source items published in the previous five years.
© Journal Citation Reports 2015, Published by Thomson Reuters
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal's basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
• Original research
• Short communications
• Critical reviews
• Study reviews
Research Areas Include:
• New and rapid methods of analyses
• Nutrient, bioactive non-nutrient and anti-nutrient data
• Data on wild and under-utilized foods, including intra-varietal differences
• Computer technology and information systems theory directly relating to food composition database development, management, and utilization
• Processes of development and selection of single-value entries for food composition tables
• Quality control procedures and standard reference materials for use in the assay of food components
• Statistical and mathematical manipulations involved with the preparation and utilization of food composition data
Database coverage includes AGORA, AGRICOLA, Biological Abstracts, CAB ABSTRACTS, CAB HEALTH, Current Contents, Dairy Science Abstracts, Food Science and Technology Abstracts, Foodline (R): Food Science and Technology, Nutrition Abstracts and Reviews, ScienceDirect, Scopus, and Vitis Viticulture and Enology Abstracts.