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Cross genome phylogenetic analysis of human and Drosophila G protein-coupled receptors: application to functional annotation of orphan receptors

Overview of attention for article published in BMC Genomics, August 2005
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92 Mendeley
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Title
Cross genome phylogenetic analysis of human and Drosophila G protein-coupled receptors: application to functional annotation of orphan receptors
Published in
BMC Genomics, August 2005
DOI 10.1186/1471-2164-6-106
Pubmed ID
Authors

Raghu Prasad Rao Metpally, Ramanathan Sowdhamini

Abstract

The cell-membrane G-protein coupled receptors (GPCRs) are one of the largest known superfamilies and are the main focus of intense pharmaceutical research due to their key role in cell physiology and disease. A large number of putative GPCRs are 'orphans' with no identified natural ligands. The first step in understanding the function of orphan GPCRs is to identify their ligands. Phylogenetic clustering methods were used to elucidate the chemical nature of receptor ligands, which led to the identification of natural ligands for many orphan receptors. We have clustered human and Drosophila receptors with known ligands and orphans through cross genome phylogenetic analysis and hypothesized higher relationship of co-clustered members that would ease ligand identification, as related receptors share ligands with similar structure or class.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Germany 3 3%
United Kingdom 1 1%
Egypt 1 1%
Canada 1 1%
Denmark 1 1%
Belgium 1 1%
Unknown 80 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 29%
Student > Ph. D. Student 20 22%
Student > Master 9 10%
Student > Bachelor 7 8%
Professor > Associate Professor 7 8%
Other 14 15%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 57%
Biochemistry, Genetics and Molecular Biology 14 15%
Computer Science 5 5%
Neuroscience 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 7 8%
Unknown 11 12%
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 25 January 2010.
All research outputs
#7,451,284
of 22,780,165 outputs
Outputs from BMC Genomics
#3,595
of 10,643 outputs
Outputs of similar age
#20,134
of 57,483 outputs
Outputs of similar age from BMC Genomics
#1
of 15 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 57,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.