Christina James-Zorn, Virgilio Ponferrada, Malcolm E. Fisher, Kevin Burns, Joshua Fortriede, Erik Segerdell, Kamran Karimi, Vaneet Lotay, Dong Zhuo Wang, Stanley Chu, Troy Pells, Ying Wang, Peter D. Vize, Aaron Zorn, James-Zorn, Christina, Ponferrada, Virgilio, Fisher, Malcolm E., Burns, Kevin, Fortriede, Joshua, Segerdell, Erik, Karimi, Kamran, Lotay, Vaneet, Wang, Dong Zhuo, Chu, Stanley, Pells, Troy, Wang, Ying, Vize, Peter D., Zorn, Aaron
Abstract
Xenbase is the Xenopus model organism database ( www.xenbase.org ), a web-accessible resource that integrates the diverse genomic and biological data for Xenopus research. It hosts a variety of content including current and archived genomes for both X. laevis and X. tropicalis, bioinformatic tools for comparative genetic analyses including BLAST and GBrowse, annotated Xenopus literature, and catalogs of reagents including antibodies, ORFeome clones, morpholinos, and transgenic lines. Xenbase compiles gene-specific pages which include manually curated gene expression images, functional information including gene ontology (GO), disease associations, and links to other major data sources such as NCBI:Entrez, UniProtKB, and Ensembl. We also maintain the Xenopus Anatomy Ontology (XAO) which describes anatomy throughout embryonic development. This chapter provides a full description of the many features of Xenbase, and offers a guide on how to use various tools to perform a variety of common tasks such as identifying nucleic acid or protein sequences, finding gene expression patterns for specific genes, stages or tissues, identifying literature on a specific gene or tissue, locating useful reagents and downloading our extensive content, including Xenopus gene-Human gene disease mapping files.
Pharmacology, Toxicology and Pharmaceutical Science
1
5%
Immunology and Microbiology
1
5%
Social Sciences
1
5%
Other
1
5%
Unknown
8
36%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2018.
All research outputs
#4,193,797
of 23,054,359 outputs
Outputs from Methods in molecular biology
#1,112
of 13,196 outputs
Outputs of similar age
#91,781
of 442,464 outputs
Outputs of similar age from Methods in molecular biology
#94
of 1,499 outputs
Altmetric has tracked 23,054,359 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.
