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Genome sequencing and comparative genomics of honey bee microsporidia, Nosema apis reveal novel insights into host-parasite interactions

Overview of attention for article published in BMC Genomics, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Citations

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65 Dimensions

Readers on

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141 Mendeley
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Title
Genome sequencing and comparative genomics of honey bee microsporidia, Nosema apis reveal novel insights into host-parasite interactions
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-451
Pubmed ID
Authors

Yan ping Chen, Jeffery S Pettis, Yan Zhao, Xinyue Liu, Luke J Tallon, Lisa D Sadzewicz, Renhua Li, Huoqing Zheng, Shaokang Huang, Xuan Zhang, Michele C Hamilton, Stephen F Pernal, Andony P Melathopoulos, Xianghe Yan, Jay D Evans

Abstract

The microsporidia parasite Nosema contributes to the steep global decline of honey bees that are critical pollinators of food crops. There are two species of Nosema that have been found to infect honey bees, Nosema apis and N. ceranae. Genome sequencing of N. apis and comparative genome analysis with N. ceranae, a fully sequenced microsporidia species, reveal novel insights into host-parasite interactions underlying the parasite infections.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
France 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 131 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 29%
Researcher 24 17%
Student > Master 11 8%
Student > Bachelor 11 8%
Student > Doctoral Student 10 7%
Other 22 16%
Unknown 22 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 51%
Biochemistry, Genetics and Molecular Biology 27 19%
Veterinary Science and Veterinary Medicine 7 5%
Environmental Science 3 2%
Immunology and Microbiology 3 2%
Other 3 2%
Unknown 26 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 July 2013.
All research outputs
#6,617,442
of 25,517,918 outputs
Outputs from BMC Genomics
#2,585
of 11,274 outputs
Outputs of similar age
#52,024
of 206,939 outputs
Outputs of similar age from BMC Genomics
#46
of 188 outputs
Altmetric has tracked 25,517,918 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 11,274 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 206,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.