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DNA copy number evolution in Drosophila cell lines

Overview of attention for article published in Genome Biology, August 2014
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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14 X users
googleplus
1 Google+ user

Citations

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98 Dimensions

Readers on

mendeley
98 Mendeley
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1 CiteULike
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Title
DNA copy number evolution in Drosophila cell lines
Published in
Genome Biology, August 2014
DOI 10.1186/gb-2014-15-8-r70
Pubmed ID
Authors

Hangnoh Lee, C Joel McManus, Dong-Yeon Cho, Matthew Eaton, Fioranna Renda, Maria Patrizia Somma, Lucy Cherbas, Gemma May, Sara Powell, Dayu Zhang, Lijun Zhan, Alissa Resch, Justen Andrews, Susan E Celniker, Peter Cherbas, Teresa M Przytycka, Maurizio Gatti, Brian Oliver, Brenton Graveley, David MacAlpine

Abstract

Structural rearrangements of the genome resulting in genic imbalance due to copy number change are often deleterious at the organismal level, but are common in immortalized cell lines and tumors, where they may be an advantage to cells. In order to explore the biological consequences of copy number changes in the Drosophila genome, we resequenced the genomes of 19 tissue-culture cell lines and generated RNA-Seq profiles.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
France 2 2%
Austria 1 1%
Netherlands 1 1%
Russia 1 1%
Brazil 1 1%
Unknown 89 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 27%
Student > Ph. D. Student 22 22%
Student > Bachelor 15 15%
Student > Master 15 15%
Other 3 3%
Other 4 4%
Unknown 13 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 37%
Agricultural and Biological Sciences 34 35%
Computer Science 6 6%
Neuroscience 2 2%
Chemistry 2 2%
Other 4 4%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 April 2021.
All research outputs
#4,607,456
of 25,373,627 outputs
Outputs from Genome Biology
#2,736
of 4,467 outputs
Outputs of similar age
#43,797
of 247,681 outputs
Outputs of similar age from Genome Biology
#50
of 100 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 38th percentile – i.e., 38% 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 247,681 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 82% of its contemporaries.
We're also able to compare this research output to 100 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 50% of its contemporaries.