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Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees

Overview of attention for article published in BMC Genomics, October 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
patent
2 patents

Citations

dimensions_citation
184 Dimensions

Readers on

mendeley
279 Mendeley
citeulike
1 CiteULike
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Title
Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-496
Pubmed ID
Authors

Cédric Alaux, Christelle Dantec, Hughes Parrinello, Yves Le Conte

Abstract

Malnutrition is a major factor affecting animal health, resistance to disease and survival. In honey bees (Apis mellifera), pollen, which is the main dietary source of proteins, amino acids and lipids, is essential to adult bee physiological development while reducing their susceptibility to parasites and pathogens. However, the molecular mechanisms underlying pollen's nutritive impact on honey bee health remained to be determined. For that purpose, we investigated the influence of pollen nutrients on the transcriptome of worker bees parasitized by the mite Varroa destructor, known for suppressing immunity and decreasing lifespan. The 4 experimental groups (control bees without a pollen diet, control bees fed with pollen, varroa-parasitized bees without a pollen diet and varroa-parasitized bees fed with pollen) were analyzed by performing a digital gene expression (DGE) analysis on bee abdomens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 2 <1%
Mexico 2 <1%
United Kingdom 1 <1%
Chile 1 <1%
France 1 <1%
Poland 1 <1%
Unknown 267 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 22%
Researcher 38 14%
Student > Master 29 10%
Student > Bachelor 29 10%
Student > Doctoral Student 19 7%
Other 49 18%
Unknown 54 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 136 49%
Biochemistry, Genetics and Molecular Biology 27 10%
Environmental Science 14 5%
Veterinary Science and Veterinary Medicine 10 4%
Medicine and Dentistry 8 3%
Other 18 6%
Unknown 66 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 12 May 2020.
All research outputs
#2,359,241
of 25,355,907 outputs
Outputs from BMC Genomics
#617
of 11,226 outputs
Outputs of similar age
#11,519
of 142,063 outputs
Outputs of similar age from BMC Genomics
#9
of 91 outputs
Altmetric has tracked 25,355,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,226 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 142,063 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 91% of its contemporaries.
We're also able to compare this research output to 91 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 91% of its contemporaries.