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CFGP 2.0: a versatile web-based platform for supporting comparative and evolutionary genomics of fungi and Oomycetes

Overview of attention for article published in Nucleic Acids Research, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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12 X users

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Title
CFGP 2.0: a versatile web-based platform for supporting comparative and evolutionary genomics of fungi and Oomycetes
Published in
Nucleic Acids Research, November 2012
DOI 10.1093/nar/gks1163
Pubmed ID
Authors

Jaeyoung Choi, Kyeongchae Cheong, Kyongyong Jung, Jongbum Jeon, Gir-Won Lee, Seogchan Kang, Sangsoo Kim, Yin-Won Lee, Yong-Hwan Lee

Abstract

In 2007, Comparative Fungal Genomics Platform (CFGP; http://cfgp.snu.ac.kr/) was publicly open with 65 genomes corresponding to 58 fungal and Oomycete species. The CFGP provided six bioinformatics tools, including a novel tool entitled BLASTMatrix that enables search homologous genes to queries in multiple species simultaneously. CFGP also introduced Favorite, a personalized virtual space for data storage and analysis with these six tools. Since 2007, CFGP has grown to archive 283 genomes corresponding to 152 fungal and Oomycete species as well as 201 genomes that correspond to seven bacteria, 39 plants and 105 animals. In addition, the number of tools in Favorite increased to 27. The Taxonomy Browser of CFGP 2.0 allows users to interactively navigate through a large number of genomes according to their taxonomic positions. The user interface of BLASTMatrix was also improved to facilitate subsequent analyses of retrieved data. A newly developed genome browser, Seoul National University Genome Browser (SNUGB), was integrated into CFGP 2.0 to support graphical presentation of diverse genomic contexts. Based on the standardized genome warehouse of CFGP 2.0, several systematic platforms designed to support studies on selected gene families have been developed. Most of them are connected through Favorite to allow of sharing data across the platforms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Norway 1 2%
Finland 1 2%
Korea, Republic of 1 2%
United States 1 2%
Unknown 39 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 43%
Student > Ph. D. Student 8 18%
Student > Master 5 11%
Student > Bachelor 2 5%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 57%
Biochemistry, Genetics and Molecular Biology 7 16%
Computer Science 4 9%
Immunology and Microbiology 2 5%
Business, Management and Accounting 1 2%
Other 2 5%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 February 2013.
All research outputs
#5,421,501
of 22,687,320 outputs
Outputs from Nucleic Acids Research
#9,810
of 26,293 outputs
Outputs of similar age
#55,213
of 276,871 outputs
Outputs of similar age from Nucleic Acids Research
#104
of 379 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 62% 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 276,871 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 379 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.