↓ Skip to main content

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

Overview of attention for article published in BMC Genomics, June 2010
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
334 Dimensions

Readers on

mendeley
328 Mendeley
citeulike
9 CiteULike
connotea
2 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
De novo characterization of a whitefly transcriptome and analysis of its gene expression during development
Published in
BMC Genomics, June 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 2%
United States 6 2%
India 3 <1%
Brazil 2 <1%
Germany 2 <1%
France 2 <1%
Mexico 2 <1%
Japan 2 <1%
South Africa 1 <1%
Other 8 2%
Unknown 293 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 27%
Researcher 63 19%
Student > Master 47 14%
Student > Doctoral Student 18 5%
Other 16 5%
Other 65 20%
Unknown 29 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 227 69%
Biochemistry, Genetics and Molecular Biology 33 10%
Environmental Science 5 2%
Computer Science 4 1%
Chemistry 4 1%
Other 15 5%
Unknown 40 12%
Attention Score in Context

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
#14,914,476
of 25,374,647 outputs
Outputs from BMC Genomics
#5,157
of 11,244 outputs
Outputs of similar age
#82,150
of 104,530 outputs
Outputs of similar age from BMC Genomics
#47
of 57 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 52% 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 104,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.