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Bioinformatics Analyses Determined the Distinct CNS and Peripheral Surrogate Biomarker Candidates Between Two Mouse Models for Progressive Multiple Sclerosis

Overview of attention for article published in Frontiers in immunology, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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3 X users
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1 Facebook page

Citations

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15 Dimensions

Readers on

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31 Mendeley
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Title
Bioinformatics Analyses Determined the Distinct CNS and Peripheral Surrogate Biomarker Candidates Between Two Mouse Models for Progressive Multiple Sclerosis
Published in
Frontiers in immunology, March 2019
DOI 10.3389/fimmu.2019.00516
Pubmed ID
Authors

Seiichi Omura, Fumitaka Sato, Nicholas E. Martinez, Ah-Mee Park, Mitsugu Fujita, Nikki J. Kennett, Urška Cvek, Alireza Minagar, J. Steven Alexander, Ikuo Tsunoda

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Researcher 4 13%
Other 3 10%
Student > Doctoral Student 3 10%
Student > Bachelor 3 10%
Other 4 13%
Unknown 9 29%
Readers by discipline Count As %
Neuroscience 5 16%
Biochemistry, Genetics and Molecular Biology 5 16%
Medicine and Dentistry 3 10%
Immunology and Microbiology 2 6%
Nursing and Health Professions 1 3%
Other 5 16%
Unknown 10 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 April 2019.
All research outputs
#14,898,602
of 26,184,649 outputs
Outputs from Frontiers in immunology
#12,140
of 33,037 outputs
Outputs of similar age
#180,217
of 367,740 outputs
Outputs of similar age from Frontiers in immunology
#303
of 720 outputs
Altmetric has tracked 26,184,649 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,037 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 61% 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 367,740 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 50% of its contemporaries.
We're also able to compare this research output to 720 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 56% of its contemporaries.