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Relationship between Phylogenetic Distribution and Genomic Features in Neurospora crassa

Overview of attention for article published in PLOS ONE, April 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog

Citations

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43 Dimensions

Readers on

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45 Mendeley
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4 CiteULike
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Title
Relationship between Phylogenetic Distribution and Genomic Features in Neurospora crassa
Published in
PLOS ONE, April 2009
DOI 10.1371/journal.pone.0005286
Pubmed ID
Authors

Takao Kasuga, Gertrud Mannhaupt, N. Louise Glass

Abstract

In the post-genome era, insufficient functional annotation of predicted genes greatly restricts the potential of mining genome data. We demonstrate that an evolutionary approach, which is independent of functional annotation, has great potential as a tool for genome analysis. We chose the genome of a model filamentous fungus Neurospora crassa as an example. Phylogenetic distribution of each predicted protein coding gene (PCG) in the N. crassa genome was used to classify genes into six mutually exclusive lineage specificity (LS) groups, i.e. Eukaryote/Prokaryote-core, Dikarya-core, Ascomycota-core, Pezizomycotina-specific, N. crassa-orphans and Others. Functional category analysis revealed that only approximately 23% of PCGs in the two most highly lineage-specific grouping, Pezizomycotina-specific and N. crassa-orphans, have functional annotation. In contrast, approximately 76% of PCGs in the remaining four LS groups have functional annotation. Analysis of chromosomal localization of N. crassa-orphan PCGs and genes encoding for secreted proteins showed enrichment in subtelomeric regions. The origin of N. crassa-orphans is not known. We found that 11% of N. crassa-orphans have paralogous N. crassa-orphan genes. Of the paralogous N. crassa-orphan gene pairs, 33% were tandemly located in the genome, implying a duplication origin of N. crassa-orphan PCGs in the past. LS grouping is thus a useful tool to explore and understand genome organization, evolution and gene function in fungi.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
Australia 1 2%
Brazil 1 2%
Unknown 40 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 31%
Student > Ph. D. Student 9 20%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Student > Postgraduate 3 7%
Other 8 18%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 53%
Biochemistry, Genetics and Molecular Biology 9 20%
Computer Science 2 4%
Immunology and Microbiology 2 4%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 5 11%
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 22 April 2009.
All research outputs
#5,543,535
of 22,705,019 outputs
Outputs from PLOS ONE
#67,453
of 193,828 outputs
Outputs of similar age
#25,766
of 93,272 outputs
Outputs of similar age from PLOS ONE
#230
of 518 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% 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 93,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 518 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 55% of its contemporaries.