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Differential gene expression and alternative splicing in insect immune specificity

Overview of attention for article published in BMC Genomics, November 2014
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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4 X users
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1 Facebook page
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1 Wikipedia page

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121 Mendeley
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Title
Differential gene expression and alternative splicing in insect immune specificity
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1031
Pubmed ID
Authors

Carolyn E Riddell, Juan D Lobaton Garces, Sally Adams, Seth M Barribeau, David Twell, Eamonn B Mallon

Abstract

Ecological studies routinely show genotype-genotype interactions between insects and their parasites. The mechanisms behind these interactions are not clearly understood. Using the bumblebee Bombus terrestris/trypanosome Crithidia bombi model system (two bumblebee colonies by two Crithidia strains), we have carried out a transcriptome-wide analysis of gene expression and alternative splicing in bees during C. bombi infection. We have performed four analyses, 1) comparing gene expression in infected and non-infected bees 24 hours after infection by Crithidia bombi, 2) comparing expression at 24 and 48 hours after C. bombi infection, 3) determining the differential gene expression associated with the bumblebee-Crithidia genotype-genotype interaction at 24 hours after infection and 4) determining the alternative splicing associated with the bumblebee-Crithidia genotype-genotype interaction at 24 hours post infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Netherlands 1 <1%
Austria 1 <1%
Czechia 1 <1%
United States 1 <1%
Unknown 116 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 31%
Researcher 28 23%
Student > Bachelor 13 11%
Student > Master 12 10%
Student > Doctoral Student 7 6%
Other 15 12%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 59%
Biochemistry, Genetics and Molecular Biology 22 18%
Unspecified 2 2%
Computer Science 2 2%
Environmental Science 1 <1%
Other 7 6%
Unknown 16 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 July 2015.
All research outputs
#6,033,785
of 22,771,140 outputs
Outputs from BMC Genomics
#2,521
of 10,641 outputs
Outputs of similar age
#83,321
of 361,861 outputs
Outputs of similar age from BMC Genomics
#48
of 244 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 361,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.