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Unique features of the transcriptional response to model aneuploidy in human cells

Overview of attention for article published in BMC Genomics, February 2014
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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1 X user
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1 Google+ user

Citations

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101 Mendeley
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Title
Unique features of the transcriptional response to model aneuploidy in human cells
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-139
Pubmed ID
Authors

Milena Dürrbaum, Anastasia Yurievna Kuznetsova, Verena Passerini, Silvia Stingele, Gabriele Stoehr, Zuzana Storchová

Abstract

Aneuploidy, a karyotype deviating from multiples of a haploid chromosome set, affects the physiology of eukaryotes. In humans, aneuploidy is linked to pathological defects such as developmental abnormalities, mental retardation or cancer, but the underlying mechanisms remain elusive. There are many different types and origins of aneuploidy, but whether there is a uniform cellular response to aneuploidy in human cells has not been addressed so far.

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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 3%
Canada 1 <1%
South Africa 1 <1%
Unknown 96 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 24%
Researcher 13 13%
Student > Master 12 12%
Student > Bachelor 7 7%
Other 6 6%
Other 18 18%
Unknown 21 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 37%
Agricultural and Biological Sciences 27 27%
Medicine and Dentistry 10 10%
Neuroscience 2 2%
Immunology and Microbiology 2 2%
Other 2 2%
Unknown 21 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 March 2014.
All research outputs
#13,404,726
of 22,747,498 outputs
Outputs from BMC Genomics
#4,981
of 10,634 outputs
Outputs of similar age
#112,410
of 223,889 outputs
Outputs of similar age from BMC Genomics
#61
of 151 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,634 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 223,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 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 55% of its contemporaries.