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
Gene Expression Patterns is devoted to the rapid publication of high quality studies of gene expression in development. Studies using cell culture are also suitable if clearly relevant to development, e.g., analysis of key regulatory genes or of gene sets in the maintenance or differentiation of stem cells. Key areas of interest include:
- In-situ studies such as expression patterns of important or interesting genes at all levels, including transcription and protein expression
- Temporal studies of large gene sets during development
- Transgenic studies to study cell lineage in tissue formation
Gene Expression Patterns currently has a time to first decision of 3 weeks and had over 200,000 downloads in 2014.