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Profile of whole blood gene expression following immune stimulation in a wild passerine

Overview of attention for article published in BMC Genomics, June 2014
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Title
Profile of whole blood gene expression following immune stimulation in a wild passerine
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-533
Pubmed ID
Authors

Richard Meitern, Reidar Andreson, Peeter Hõrak

Abstract

Immunoecology aims to explain variation among hosts in the strength and efficacy of immunological defences in natural populations. This requires development of biomarkers of the activation of the immune system so that they can be collected non-lethally and sampled from small amounts of easily obtainable tissue. We used transcriptome profiling in wild greenfinches (Carduelis chloris) to detect whole blood transcripts that most profoundly indicate upregulation of antimicrobial defences during acute phase response. The more general aim of this study was to obtain a functional annotation of a substantial portion of the greenfinch transcriptome that would enable to gain access to more specific genomic tools in subsequent studies. The birds received either bacterial lipopolysaccharide or saline injections and RNA-seq transcriptional profiling was performed 12 h after treatment to provide initial functional annotation of the transcriptome and assess whole blood response to immune stimulation.

X Demographics

X Demographics

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
United States 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 10 16%
Student > Master 10 16%
Student > Bachelor 7 11%
Professor > Associate Professor 4 6%
Other 9 15%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 52%
Biochemistry, Genetics and Molecular Biology 6 10%
Computer Science 2 3%
Engineering 2 3%
Neuroscience 2 3%
Other 5 8%
Unknown 13 21%
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 27 June 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#146,227
of 242,577 outputs
Outputs of similar age from BMC Genomics
#161
of 271 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 242,577 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 271 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.