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Expression-based segmentation of the Drosophila genome

Overview of attention for article published in BMC Genomics, November 2013
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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6 X users

Citations

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7 Dimensions

Readers on

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29 Mendeley
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Title
Expression-based segmentation of the Drosophila genome
Published in
BMC Genomics, November 2013
DOI 10.1186/1471-2164-14-812
Pubmed ID
Authors

Alan F Rubin, Phil Green

Abstract

It is generally accepted that gene order in eukaryotes is nonrandom, with adjacent genes often sharing expression patterns across tissues, and that this organization may be important for gene regulation. Here we describe a novel method, based on an explicit probability model instead of correlation analysis, for identifying coordinately expressed gene clusters ('coexpression segments'), apply it to Drosophila melanogaster, and look for epigenetic associations using publicly available data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Netherlands 1 3%
Russia 1 3%
Canada 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 38%
Student > Ph. D. Student 9 31%
Professor 2 7%
Student > Postgraduate 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 69%
Biochemistry, Genetics and Molecular Biology 6 21%
Computer Science 1 3%
Neuroscience 1 3%
Unknown 1 3%
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 16 December 2013.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#95,417
of 315,459 outputs
Outputs of similar age from BMC Genomics
#71
of 216 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 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 315,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 216 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 63% of its contemporaries.