↓ Skip to main content

Immunological classification of gliomas based on immunogenomic profiling

Overview of attention for article published in Journal of Neuroinflammation, November 2020
Altmetric Badge

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 (73rd percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Immunological classification of gliomas based on immunogenomic profiling
Published in
Journal of Neuroinflammation, November 2020
DOI 10.1186/s12974-020-02030-w
Authors

Qiushi Feng, Lin Li, Mengyuan Li, Xiaosheng Wang

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%

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 28 November 2020.
All research outputs
#3,030,681
of 17,083,063 outputs
Outputs from Journal of Neuroinflammation
#608
of 2,117 outputs
Outputs of similar age
#100,580
of 391,346 outputs
Outputs of similar age from Journal of Neuroinflammation
#207
of 344 outputs
Altmetric has tracked 17,083,063 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 64% 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 391,346 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 73% of its contemporaries.
We're also able to compare this research output to 344 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.