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Clinically relevant glioblastoma patient-derived xenograft models to guide drug development and identify molecular signatures

Overview of attention for article published in Frontiers in oncology, April 2023
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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11 Mendeley
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Title
Clinically relevant glioblastoma patient-derived xenograft models to guide drug development and identify molecular signatures
Published in
Frontiers in oncology, April 2023
DOI 10.3389/fonc.2023.1129627
Pubmed ID
Authors

Joshua Alcaniz, Lars Winkler, Mathias Dahlmann, Michael Becker, Andrea Orthmann, Johannes Haybaeck, Stefanie Krassnig, Christina Skofler, Tobias Kratzsch, Susanne A. Kuhn, Andreas Jödicke, Michael Linnebacher, Iduna Fichtner, Wolfgang Walther, Jens Hoffmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Unspecified 1 9%
Student > Bachelor 1 9%
Lecturer 1 9%
Researcher 1 9%
Other 1 9%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Biochemistry, Genetics and Molecular Biology 2 18%
Unspecified 1 9%
Agricultural and Biological Sciences 1 9%
Engineering 1 9%
Other 0 0%
Unknown 4 36%
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 28 April 2023.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from Frontiers in oncology
#6,626
of 22,440 outputs
Outputs of similar age
#231,438
of 419,892 outputs
Outputs of similar age from Frontiers in oncology
#294
of 1,274 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. 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 419,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,274 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 70% of its contemporaries.