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Integrative genomics and transcriptomics analysis of human embryonic and induced pluripotent stem cells

Overview of attention for article published in BioData Mining, December 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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2 Dimensions

Readers on

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22 Mendeley
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Title
Integrative genomics and transcriptomics analysis of human embryonic and induced pluripotent stem cells
Published in
BioData Mining, December 2014
DOI 10.1186/s13040-014-0032-2
Pubmed ID
Authors

Kirsti Laurila, Reija Autio, Lingjia Kong, Elisa Närvä, Samer Hussein, Timo Otonkoski, Riitta Lahesmaa, Harri Lähdesmäki

Abstract

Human genomic variations, including single nucleotide polymorphisms (SNPs) and copy number variations (CNVs), are associated with several phenotypic traits varying from mild features to hereditary diseases. Several genome-wide studies have reported genomic variants that correlate with gene expression levels in various tissue and cell types.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 3 14%
Student > Bachelor 2 9%
Student > Postgraduate 2 9%
Student > Doctoral Student 1 5%
Other 5 23%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Biochemistry, Genetics and Molecular Biology 4 18%
Agricultural and Biological Sciences 3 14%
Computer Science 2 9%
Engineering 2 9%
Other 0 0%
Unknown 3 14%
Attention Score in Context

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 06 February 2015.
All research outputs
#6,948,850
of 22,786,087 outputs
Outputs from BioData Mining
#148
of 307 outputs
Outputs of similar age
#95,718
of 354,779 outputs
Outputs of similar age from BioData Mining
#6
of 12 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 354,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 12 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.