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Circulating miRNome profiling in Moyamoya disease-discordant monozygotic twins and endothelial microRNA expression analysis using iPS cell line

Overview of attention for article published in BMC Medical Genomics, August 2018
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Mentioned by

twitter
2 tweeters

Citations

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3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Circulating miRNome profiling in Moyamoya disease-discordant monozygotic twins and endothelial microRNA expression analysis using iPS cell line
Published in
BMC Medical Genomics, August 2018
DOI 10.1186/s12920-018-0385-3
Pubmed ID
Authors

Haruto Uchino, Masaki Ito, Ken Kazumata, Yuka Hama, Shuji Hamauchi, Shunsuke Terasaka, Hidenao Sasaki, Kiyohiro Houkin

Twitter Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Other 2 18%
Student > Bachelor 1 9%
Librarian 1 9%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Computer Science 1 9%
Agricultural and Biological Sciences 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Neuroscience 1 9%
Other 0 0%
Unknown 3 27%

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 02 September 2019.
All research outputs
#11,427,763
of 14,414,290 outputs
Outputs from BMC Medical Genomics
#572
of 762 outputs
Outputs of similar age
#186,228
of 255,069 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 11 outputs
Altmetric has tracked 14,414,290 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 762 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 14th percentile – i.e., 14% 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 255,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.