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De novo characterization of a whitefly transcriptome and analysis of its gene expression during development

Overview of attention for article published in BMC Genomics, January 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
299 Dimensions

Readers on

mendeley
293 Mendeley
citeulike
9 CiteULike
connotea
2 Connotea
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Title
De novo characterization of a whitefly transcriptome and analysis of its gene expression during development
Published in
BMC Genomics, January 2010
DOI 10.1186/1471-2164-11-400
Pubmed ID
Authors

Xiao-Wei Wang, Jun-Bo Luan, Jun-Min Li, Yan-Yuan Bao, Chuan-Xi Zhang, Shu-Sheng Liu

Abstract

Whitefly (Bemisia tabaci) causes extensive crop damage throughout the world by feeding directly on plants and by vectoring hundreds of species of begomoviruses. Yet little is understood about its genes involved in development, insecticide resistance, host range plasticity and virus transmission.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
United Kingdom 6 2%
India 3 1%
Mexico 3 1%
Germany 2 <1%
Japan 2 <1%
France 2 <1%
Brazil 2 <1%
Canada 1 <1%
Other 8 3%
Unknown 258 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 29%
Researcher 58 20%
Student > Master 44 15%
Student > Doctoral Student 17 6%
Student > Postgraduate 17 6%
Other 72 25%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 216 74%
Biochemistry, Genetics and Molecular Biology 28 10%
Unspecified 23 8%
Environmental Science 5 2%
Computer Science 5 2%
Other 15 5%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2016.
All research outputs
#3,192,460
of 7,987,814 outputs
Outputs from BMC Genomics
#2,256
of 5,713 outputs
Outputs of similar age
#72,989
of 245,274 outputs
Outputs of similar age from BMC Genomics
#35
of 124 outputs
Altmetric has tracked 7,987,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 59th percentile.
So far Altmetric has tracked 5,713 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 58% 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 245,274 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 69% of its contemporaries.
We're also able to compare this research output to 124 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 69% of its contemporaries.