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Molecular tools to support metabolic and immune function research in the Guinea Fowl (Numida meleagris)

Overview of attention for article published in BMC Genomics, May 2015
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Title
Molecular tools to support metabolic and immune function research in the Guinea Fowl (Numida meleagris)
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1520-6
Pubmed ID
Authors

Carl E Darris, James E Tyus, Gary Kelley, Alexander J Ropelewski, Hugh B Nicholas, Xiaofei Wang, Samuel Nahashon

Abstract

Guinea fowl (Numidia meleagris) production as an alternative source of meat and poultry has shown potential for economic viability. However, there has been little progress in characterizing the transcriptome of the guinea fowl. In this study RNA-sequencing and de novo transcriptome assembly of several Guinea fowl tissues (pancreas, hypothalamus, liver, bone marrow and bursa) which play key roles in regulating feed intake, satiety, and immune function was performed using Illumina's Hi-Seq 2000, RESULTS: 74 million sequences were generated and assembled into 96,492 contigs using the Trinity software suite. Over 39,000 of these transcripts were found to have in silico translated protein sequences that are homologous to chicken protein sequences. Gene ontology analysis uncovered 416 transcripts with metabolic functions and 703 with immune function. The transcriptome information presented here will support the development of molecular approaches to improve production efficiency of the guinea fowl and other avian species.

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The data shown below were collected from the profiles of 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Researcher 5 22%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Student > Postgraduate 2 9%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 52%
Biochemistry, Genetics and Molecular Biology 2 9%
Computer Science 1 4%
Economics, Econometrics and Finance 1 4%
Immunology and Microbiology 1 4%
Other 2 9%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 May 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from BMC Genomics
#8,176
of 10,649 outputs
Outputs of similar age
#192,526
of 264,554 outputs
Outputs of similar age from BMC Genomics
#215
of 264 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,649 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.