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Deep sequencing and genome-wide analysis reveals the expansion of MicroRNA genes in the gall midge Mayetiola destructor

Overview of attention for article published in BMC Genomics, March 2013
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

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17 Dimensions

Readers on

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58 Mendeley
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Title
Deep sequencing and genome-wide analysis reveals the expansion of MicroRNA genes in the gall midge Mayetiola destructor
Published in
BMC Genomics, March 2013
DOI 10.1186/1471-2164-14-187
Pubmed ID
Authors

Chitvan Khajuria, Christie E Williams, Mustapha El Bouhssini, R Jeff Whitworth, Stephen Richards, Jeffrey J Stuart, Ming-Shun Chen

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in regulating post transcriptional gene expression. Gall midges encompass a large group of insects that are of economic importance and also possess fascinating biological traits. The gall midge Mayetiola destructor, commonly known as the Hessian fly, is a destructive pest of wheat and model organism for studying gall midge biology and insect - host plant interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
China 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 33%
Researcher 10 17%
Professor > Associate Professor 5 9%
Student > Doctoral Student 4 7%
Student > Master 3 5%
Other 7 12%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 60%
Biochemistry, Genetics and Molecular Biology 6 10%
Computer Science 2 3%
Immunology and Microbiology 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 April 2013.
All research outputs
#3,629,687
of 22,701,287 outputs
Outputs from BMC Genomics
#1,413
of 10,622 outputs
Outputs of similar age
#33,816
of 215,834 outputs
Outputs of similar age from BMC Genomics
#17
of 132 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,622 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 215,834 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.