↓ Skip to main content

Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment

Overview of attention for article published in American Journal of Neuroradiology, March 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
21 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
24 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
Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment
Published in
American Journal of Neuroradiology, March 2022
DOI 10.3174/ajnr.a7473
Pubmed ID
Authors

G.I. Cassinelli Petersen, J. Shatalov, T. Verma, W.R. Brim, H. Subramanian, A. Brackett, R.C. Bahar, S. Merkaj, T. Zeevi, L.H. Staib, J. Cui, A. Omuro, R.A. Bronen, A. Malhotra, M.S. Aboian

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 8%
Other 2 8%
Student > Ph. D. Student 2 8%
Lecturer > Senior Lecturer 1 4%
Student > Bachelor 1 4%
Other 3 13%
Unknown 13 54%
Readers by discipline Count As %
Medicine and Dentistry 5 21%
Physics and Astronomy 1 4%
Computer Science 1 4%
Neuroscience 1 4%
Engineering 1 4%
Other 0 0%
Unknown 15 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 15 April 2022.
All research outputs
#1,581,305
of 24,071,024 outputs
Outputs from American Journal of Neuroradiology
#198
of 5,066 outputs
Outputs of similar age
#37,679
of 431,410 outputs
Outputs of similar age from American Journal of Neuroradiology
#5
of 64 outputs
Altmetric has tracked 24,071,024 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 431,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.