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Four-way regulation of mosquito yolk protein precursor genes by juvenile hormone-, ecdysone-, nutrient-, and insulin-like peptide signaling pathways

Overview of attention for article published in Frontiers in Physiology, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 14,897)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
50 news outlets
blogs
1 blog
twitter
1 X user

Citations

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139 Dimensions

Readers on

mendeley
186 Mendeley
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Title
Four-way regulation of mosquito yolk protein precursor genes by juvenile hormone-, ecdysone-, nutrient-, and insulin-like peptide signaling pathways
Published in
Frontiers in Physiology, March 2014
DOI 10.3389/fphys.2014.00103
Pubmed ID
Authors

Immo A. Hansen, Geoffrey M. Attardo, Stacy D. Rodriguez, Lisa L. Drake

Abstract

Anautogenous mosquito females require a meal of vertebrate blood in order to initiate the production of yolk protein precursors by the fat body. Yolk protein precursor gene expression is tightly repressed in a state-of-arrest before blood meal-related signals activate it and expression levels rise rapidly. The best understood example of yolk protein precursor gene regulation is the vitellogenin-A gene (vg) of the yellow fever mosquito Aedes aegypti. Vg-A is regulated by (1) juvenile hormone signaling, (2) the ecdysone-signaling cascade, (3) the nutrient sensitive target-of-rapamycin signaling pathway, and (4) the insulin-like peptide (ILP) signaling pathway. A plethora of new studies have refined our understanding of the regulation of yolk protein precursor genes since the last review on this topic in 2005 (Attardo et al., 2005). This review summarizes the role of these four signaling pathways in the regulation of vg-A and focuses upon new findings regarding the interplay between them on an organismal level.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Spain 2 1%
Portugal 1 <1%
United Kingdom 1 <1%
France 1 <1%
Brazil 1 <1%
China 1 <1%
Unknown 175 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 23%
Researcher 27 15%
Student > Master 26 14%
Student > Doctoral Student 15 8%
Student > Bachelor 14 8%
Other 27 15%
Unknown 34 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 38%
Biochemistry, Genetics and Molecular Biology 50 27%
Medicine and Dentistry 6 3%
Immunology and Microbiology 6 3%
Chemistry 5 3%
Other 10 5%
Unknown 38 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 368. 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 18 July 2023.
All research outputs
#80,007
of 24,285,692 outputs
Outputs from Frontiers in Physiology
#36
of 14,897 outputs
Outputs of similar age
#597
of 227,966 outputs
Outputs of similar age from Frontiers in Physiology
#3
of 78 outputs
Altmetric has tracked 24,285,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,897 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 99% 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 227,966 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.