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Evolution of coding and non-coding genes in HOX clusters of a marsupial

Overview of attention for article published in BMC Genomics, June 2012
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1 X user

Citations

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Title
Evolution of coding and non-coding genes in HOX clusters of a marsupial
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-251
Pubmed ID
Authors

Hongshi Yu, James Lindsay, Zhi-Ping Feng, Stephen Frankenberg, Yanqiu Hu, Dawn Carone, Geoff Shaw, Andrew J Pask, Rachel O’Neill, Anthony T Papenfuss, Marilyn B Renfree

Abstract

The HOX gene clusters are thought to be highly conserved amongst mammals and other vertebrates, but the long non-coding RNAs have only been studied in detail in human and mouse. The sequencing of the kangaroo genome provides an opportunity to use comparative analyses to compare the HOX clusters of a mammal with a distinct body plan to those of other mammals.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 2%
Japan 1 2%
Unknown 58 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Researcher 11 18%
Student > Doctoral Student 6 10%
Student > Master 6 10%
Professor 5 8%
Other 9 15%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 39%
Biochemistry, Genetics and Molecular Biology 11 18%
Medicine and Dentistry 8 13%
Computer Science 3 5%
Social Sciences 2 3%
Other 5 8%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2012.
All research outputs
#18,805,293
of 23,305,591 outputs
Outputs from BMC Genomics
#8,253
of 10,742 outputs
Outputs of similar age
#127,823
of 165,706 outputs
Outputs of similar age from BMC Genomics
#79
of 108 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 165,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.