The mouse Gene Expression Database (GXD): 2017 update
Nucleic Acids Research, ISSN: 1362-4962, Vol: 45, Issue: D1, Page: D730-D736
2017
- 66Citations
- 68Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations66
- Citation Indexes66
- 66
- CrossRef12
- Captures68
- Readers68
- 68
- Mentions1
- Blog Mentions1
- Blog1
Most Recent Blog
Featured Resource: Gene Expression Database (GXD)
Our ‘Featured resource’ series aims to shine a light on the resources that support our research – the unsung heroes of the science world. In this post, Connie Smith and Martin Ringwald introduce the data and functionalities available at Gene Expression Database and talk about the future directions of the database. What is the Gene Expression Database (GXD)? GXD is a long-standing, freely available
Article Description
The Gene Expression Database (GXD; www. informatics.jax.org/expression.shtml) is an extensive and well-curated community resource of mouse developmental expression information. Through curation of the scientific literature and by collaborations with large-scale expression projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistry, RT-PCR, northern blot and western blot experiments. Expression data from both wild-type and mutant mice are included. The expression data are combined with genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many types of database searches. At present, GXD includes over 1.5 million expression results and more than 300 000 images, all annotated with detailed and standardized metadata. Since our last report in 2014, we have added a large amount of data, we have enhanced data and database infrastructure, and we have implemented many new search and display features. Interface enhancements include: a new Mouse Developmental Anatomy Browser; interactive tissueby-developmental stage and tissue-by-gene matrix views; capabilities to filter and sort expression data summaries; a batch search utility; gene-based expression overviews; and links to expression data from other species.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85016154437&origin=inward; http://dx.doi.org/10.1093/nar/gkw1073; http://www.ncbi.nlm.nih.gov/pubmed/27899677; https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkw1073; https://mouseion.jax.org/stfb2017/10; https://dx.doi.org/10.1093/nar/gkw1073; https://academic.oup.com/nar/article/45/D1/D730/2605706
Oxford University Press (OUP)
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