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Analysis of gene evolution and metabolic pathways using the Candida Gene Order Browser

Overview of attention for article published in BMC Genomics, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
4 CiteULike
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Title
Analysis of gene evolution and metabolic pathways using the Candida Gene Order Browser
Published in
BMC Genomics, January 2010
DOI 10.1186/1471-2164-11-290
Pubmed ID
Authors

David A Fitzpatrick, Peadar O'Gaora, Kevin P Byrne, Geraldine Butler

Abstract

Candida species are the most common cause of opportunistic fungal infection worldwide. Recent sequencing efforts have provided a wealth of Candida genomic data. We have developed the Candida Gene Order Browser (CGOB), an online tool that aids comparative syntenic analyses of Candida species. CGOB incorporates all available Candida clade genome sequences including two Candida albicans isolates (SC5314 and WO-1) and 8 closely related species (Candida dubliniensis, Candida tropicalis, Candida parapsilosis, Lodderomyces elongisporus, Debaryomyces hansenii, Pichia stipitis, Candida guilliermondii and Candida lusitaniae). Saccharomyces cerevisiae is also included as a reference genome.

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 2 2%
United States 2 2%
France 2 2%
Germany 1 <1%
Sweden 1 <1%
China 1 <1%
Netherlands 1 <1%
Poland 1 <1%
Unknown 95 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 28%
Researcher 17 16%
Student > Master 15 14%
Student > Bachelor 11 10%
Professor 6 6%
Other 16 15%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 55%
Biochemistry, Genetics and Molecular Biology 18 17%
Medicine and Dentistry 6 6%
Immunology and Microbiology 3 3%
Computer Science 2 2%
Other 4 4%
Unknown 15 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 April 2014.
All research outputs
#2,160,503
of 17,359,532 outputs
Outputs from BMC Genomics
#918
of 9,281 outputs
Outputs of similar age
#26,621
of 198,510 outputs
Outputs of similar age from BMC Genomics
#1
of 8 outputs
Altmetric has tracked 17,359,532 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% 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 198,510 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 86% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them