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Classifying Medulloblastoma Subgroups Based on Small, Clinically Achievable Gene Sets

Overview of attention for article published in Frontiers in oncology, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Classifying Medulloblastoma Subgroups Based on Small, Clinically Achievable Gene Sets
Published in
Frontiers in oncology, June 2021
DOI 10.3389/fonc.2021.637482
Pubmed ID
Authors

Sivan Gershanov, Shreyas Madiwale, Galina Feinberg-Gorenshtein, Igor Vainer, Tamar Nehushtan, Shalom Michowiz, Nitza Goldenberg-Cohen, Yehudit Birger, Helen Toledano, Mali Salmon-Divon

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 14%
Student > Postgraduate 2 10%
Researcher 2 10%
Student > Ph. D. Student 2 10%
Other 1 5%
Other 4 19%
Unknown 7 33%
Readers by discipline Count As %
Medicine and Dentistry 6 29%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 10%
Unknown 9 43%
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 28 June 2021.
All research outputs
#14,987,031
of 25,481,734 outputs
Outputs from Frontiers in oncology
#4,173
of 22,575 outputs
Outputs of similar age
#214,858
of 458,408 outputs
Outputs of similar age from Frontiers in oncology
#235
of 1,431 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,575 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 458,408 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 52% of its contemporaries.
We're also able to compare this research output to 1,431 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.