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EcoGene-RefSeq: EcoGene tools applied to the RefSeq prokaryotic genomes

Overview of attention for article published in Bioinformatics, June 2013
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Article details
Title
EcoGene-RefSeq: EcoGene tools applied to the RefSeq prokaryotic genomes
Published in
Bioinformatics, June 2013
DOI 10.1093/bioinformatics/btt302
Pubmed ID
Authors
Abstract

EcoGene.org is a genome database and website dedicated to Escherichia coli K-12 substrain MG1655 that is revised daily using information derived from the biomedical literature and in-house analysis. EcoGene is a major source of annotation updates for the MG1655 Genbank record, one of only a few Genbank genome records that are updated by a community effort. The Reference Sequence (RefSeq) database, built by The National Center for Biotechnology Information, comprises a set of duplicate Genbank genome records that can be modified by the NCBI staff annotators. EcoGene-RefSeq is being developed as a stand-alone internet resource to facilitate the usage of EcoGene-based tools on any of the >2400 completed prokaryotic genome records that are currently available at the RefSeq database.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 10%
Sweden 1 5%
Spain 1 5%
Unknown 16 80%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 40%
Student > Ph. D. Student 5 25%
Student > Master 2 10%
Librarian 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 3 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 8 40%
Biochemistry, Genetics and Molecular Biology 4 20%
Computer Science 1 5%
Immunology and Microbiology 1 5%
Social Sciences 1 5%
Other 2 10%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 July 2013.
All research outputs
#14,915,476
of 25,374,917 outputs
Outputs from Bioinformatics
#8,880
of 12,809 outputs
Outputs of similar age
#112,977
of 209,901 outputs
Outputs of similar age from Bioinformatics
#125
of 211 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 209,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.