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Expression-based segmentation of the Drosophila genome

Overview of attention for article published in BMC Genomics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
8 tweeters

Citations

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3 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Expression-based segmentation of the Drosophila genome
Published in
BMC Genomics, January 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.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
United Kingdom 1 3%
Canada 1 3%
Russia 1 3%
Spain 1 3%
Unknown 24 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 41%
Student > Ph. D. Student 9 31%
Student > Postgraduate 2 7%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 1 3%
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

This research output has an Altmetric Attention Score of 4. 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
#2,924,717
of 11,293,566 outputs
Outputs from BMC Genomics
#1,920
of 6,784 outputs
Outputs of similar age
#44,224
of 184,736 outputs
Outputs of similar age from BMC Genomics
#51
of 203 outputs
Altmetric has tracked 11,293,566 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,784 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 70% 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 184,736 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 75% of its contemporaries.
We're also able to compare this research output to 203 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 73% of its contemporaries.