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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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Mentioned by

twitter
2 tweeters

Citations

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43 Dimensions

Readers on

mendeley
78 Mendeley
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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

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

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Researcher 10 13%
Student > Master 9 12%
Student > Bachelor 5 6%
Student > Doctoral Student 5 6%
Other 12 15%
Unknown 19 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 29%
Neuroscience 12 15%
Medicine and Dentistry 8 10%
Agricultural and Biological Sciences 3 4%
Mathematics 2 3%
Other 7 9%
Unknown 23 29%

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
#15,622,905
of 20,168,546 outputs
Outputs from BMC Medical Genomics
#689
of 1,058 outputs
Outputs of similar age
#290,089
of 412,506 outputs
Outputs of similar age from BMC Medical Genomics
#49
of 75 outputs
Altmetric has tracked 20,168,546 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 1,058 research outputs from this source. They receive a mean Attention Score of 4.5. 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 412,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.