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Identification of biomarkers for amyotrophic lateral sclerosis by comprehensive analysis of exosomal mRNAs in human cerebrospinal fluid

Overview of attention for article published in BMC Medical Genomics, January 2019
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2 X users

Citations

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91 Mendeley
Title
Identification of biomarkers for amyotrophic lateral sclerosis by comprehensive analysis of exosomal mRNAs in human cerebrospinal fluid
Published in
BMC Medical Genomics, January 2019
DOI 10.1186/s12920-019-0473-z
Pubmed ID
Authors

Kentaro Otake, Hidenori Kamiguchi, Yoshihiko Hirozane

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 11 12%
Researcher 10 11%
Student > Bachelor 6 7%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 25 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 25%
Neuroscience 14 15%
Medicine and Dentistry 9 10%
Agricultural and Biological Sciences 4 4%
Mathematics 2 2%
Other 9 10%
Unknown 30 33%
Attention Score in Context

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 07 January 2020.
All research outputs
#18,003,568
of 23,122,481 outputs
Outputs from BMC Medical Genomics
#805
of 1,238 outputs
Outputs of similar age
#305,275
of 437,984 outputs
Outputs of similar age from BMC Medical Genomics
#26
of 39 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,238 research outputs from this source. They receive a mean Attention Score of 4.7. 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 437,984 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.