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Gene expression analysis of induced pluripotent stem cells from aneuploid chromosomal syndromes

Overview of attention for article published in BMC Genomics, October 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

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22 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Gene expression analysis of induced pluripotent stem cells from aneuploid chromosomal syndromes
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-s5-s8
Pubmed ID
Authors

Ruosi Zhang, Lili Hao, Lingping Wang, Meili Chen, Wen Li, Rujiao Li, Jun Yu, Jingfa Xiao, Jiayan Wu

Abstract

Human aneuploidy is the leading cause of early pregnancy loss, mental retardation, and multiple congenital anomalies. Due to the high mortality associated with aneuploidy, the pathophysiological mechanisms of aneuploidy syndrome remain largely unknown. Previous studies focused mostly on whether dosage compensation occurs, and the next generation transcriptomics sequencing technology RNA-seq is expected to eventually uncover the mechanisms of gene expression regulation and the related pathological phenotypes in human aneuploidy.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Netherlands 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 29%
Researcher 11 21%
Other 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 6 12%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 29%
Biochemistry, Genetics and Molecular Biology 12 23%
Medicine and Dentistry 7 13%
Neuroscience 2 4%
Psychology 2 4%
Other 4 8%
Unknown 10 19%

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 October 2013.
All research outputs
#2,302,933
of 4,507,509 outputs
Outputs from BMC Genomics
#2,449
of 4,113 outputs
Outputs of similar age
#50,440
of 101,299 outputs
Outputs of similar age from BMC Genomics
#102
of 204 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,113 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% 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 101,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.