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Mice defective in interferon signaling help distinguish between primary and secondary pathological pathways in a mouse model of neuronal forms of Gaucher disease

Overview of attention for article published in Journal of Neuroinflammation, September 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Mice defective in interferon signaling help distinguish between primary and secondary pathological pathways in a mouse model of neuronal forms of Gaucher disease
Published in
Journal of Neuroinflammation, September 2020
DOI 10.1186/s12974-020-01934-x
Pubmed ID
Authors

Ayelet Vardi, Shifra Ben-Dor, Soo Min Cho, Ulrich Kalinke, Julia Spanier, Anthony H. Futerman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Bachelor 4 22%
Student > Ph. D. Student 3 17%
Student > Master 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Medicine and Dentistry 3 17%
Agricultural and Biological Sciences 2 11%
Economics, Econometrics and Finance 1 6%
Nursing and Health Professions 1 6%
Other 2 11%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 September 2020.
All research outputs
#4,273,993
of 23,234,261 outputs
Outputs from Journal of Neuroinflammation
#811
of 2,682 outputs
Outputs of similar age
#104,338
of 400,208 outputs
Outputs of similar age from Journal of Neuroinflammation
#72
of 93 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,682 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 65% 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 400,208 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 72% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.