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Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning

Overview of attention for article published in Frontiers in Neuroscience, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
5 X users
reddit
1 Redditor

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning
Published in
Frontiers in Neuroscience, May 2022
DOI 10.3389/fnins.2022.855990
Pubmed ID
Authors

Yukun Liu, Tianshi Li, Ziwen Fan, Yiming Li, Zhiyan Sun, Shaowu Li, Yuchao Liang, Chunyao Zhou, Qiang Zhu, Hong Zhang, Xing Liu, Lei Wang, Yinyan Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 10%
Researcher 1 10%
Unknown 8 80%
Readers by discipline Count As %
Unspecified 1 10%
Psychology 1 10%
Unknown 8 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 May 2022.
All research outputs
#15,181,325
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#6,406
of 11,543 outputs
Outputs of similar age
#205,078
of 445,205 outputs
Outputs of similar age from Frontiers in Neuroscience
#205
of 467 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 445,205 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 51% of its contemporaries.
We're also able to compare this research output to 467 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 53% of its contemporaries.