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Predictive Sequence Analysis of the Candidatus Liberibacter asiaticus Proteome

Overview of attention for article published in PLOS ONE, July 2012
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Title
Predictive Sequence Analysis of the Candidatus Liberibacter asiaticus Proteome
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041071
Pubmed ID
Authors

Qian Cong, Lisa N. Kinch, Bong-Hyun Kim, Nick V. Grishin

Abstract

Candidatus Liberibacter asiaticus (Ca. L. asiaticus) is a parasitic gram-negative bacterium that is closely associated with Huanglongbing (HLB), a worldwide citrus disease. Given the difficulty in culturing the bacterium and thus in its experimental characterization, computational analyses of the whole Ca. L. asiaticus proteome can provide much needed insights into the mechanisms of the disease and guide the development of treatment strategies. In this study, we applied state-of-the-art sequence analysis tools to every Ca. L. asiaticus protein. Our results are available as a public website at http://prodata.swmed.edu/liberibacter_asiaticus/. In particular, we manually curated the results to predict the subcellular localization, spatial structure and function of all Ca. L. asiaticus proteins (http://prodata.swmed.edu/liberibacter_asiaticus/curated/). This extensive information should facilitate the study of Ca. L. asiaticus proteome function and its relationship to disease. Pilot studies based on the information from our website have revealed several potential virulence factors, discussed herein.

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The data shown below were collected from the profiles of 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Mexico 1 1%
Netherlands 1 1%
Brazil 1 1%
Unknown 65 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 37%
Student > Ph. D. Student 15 21%
Student > Master 9 13%
Student > Doctoral Student 4 6%
Student > Postgraduate 4 6%
Other 10 14%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 68%
Biochemistry, Genetics and Molecular Biology 15 21%
Unspecified 1 1%
Business, Management and Accounting 1 1%
Computer Science 1 1%
Other 2 3%
Unknown 3 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 January 2014.
All research outputs
#14,444,554
of 24,241,559 outputs
Outputs from PLOS ONE
#121,163
of 208,601 outputs
Outputs of similar age
#94,125
of 166,597 outputs
Outputs of similar age from PLOS ONE
#2,138
of 4,025 outputs
Altmetric has tracked 24,241,559 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 39th percentile – i.e., 39% 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 166,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,025 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.