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A database of circadian and diel rhythmic gene expression in the yellow fever mosquito Aedes aegypti

Overview of attention for article published in BMC Genomics, December 2014
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Title
A database of circadian and diel rhythmic gene expression in the yellow fever mosquito Aedes aegypti
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1128
Pubmed ID
Authors

Matthew T Leming, Samuel SC Rund, Susanta K Behura, Giles E Duffield, Joseph E O’Tousa

Abstract

The mosquito species Aedes aegypti is the primary vector of many arboviral diseases, including dengue and yellow fevers, that are responsible for a large worldwide health burden. The biological rhythms of mosquitoes regulate many of the physiological processes and behaviors that influence the transmission of these diseases. For insight into the molecular basis of biological rhythms, diel and circadian gene expression profiling has been carried out for many species. To bring these resources to Aedes aegypti researchers, we used microarray technology to carry out a genome wide assessment of gene expression during the 24 hour light/dark (LD) cycle and during constant darkness (DD). The purpose of this report is to describe the methods, the validation of the results, and the organization of this database resource.

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

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Master 9 14%
Student > Bachelor 9 14%
Student > Ph. D. Student 8 13%
Student > Doctoral Student 5 8%
Other 9 14%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 35%
Biochemistry, Genetics and Molecular Biology 9 14%
Medicine and Dentistry 7 11%
Environmental Science 3 5%
Immunology and Microbiology 2 3%
Other 8 13%
Unknown 12 19%
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 13 August 2015.
All research outputs
#13,925,649
of 22,774,233 outputs
Outputs from BMC Genomics
#5,343
of 10,642 outputs
Outputs of similar age
#170,326
of 331,253 outputs
Outputs of similar age from BMC Genomics
#109
of 242 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 331,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.