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Feasibility study of using high‐throughput drug sensitivity testing to target recurrent glioblastoma stem cells for individualized treatment

Overview of attention for article published in Clinical and Translational Medicine, December 2019
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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4 X users

Citations

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20 Dimensions

Readers on

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45 Mendeley
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Title
Feasibility study of using high‐throughput drug sensitivity testing to target recurrent glioblastoma stem cells for individualized treatment
Published in
Clinical and Translational Medicine, December 2019
DOI 10.1186/s40169-019-0253-6
Pubmed ID
Authors

Erlend Skaga, Evgeny Kulesskiy, Marit Brynjulvsen, Cecilie J. Sandberg, Swapnil Potdar, Iver A. Langmoen, Aki Laakso, Emília Gaál-Paavola, Markus Perola, Krister Wennerberg, Einar O. Vik-Mo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Other 4 9%
Student > Ph. D. Student 3 7%
Student > Bachelor 2 4%
Student > Postgraduate 2 4%
Other 4 9%
Unknown 22 49%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Biochemistry, Genetics and Molecular Biology 5 11%
Neuroscience 4 9%
Agricultural and Biological Sciences 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 24 53%
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 09 January 2020.
All research outputs
#15,810,483
of 25,837,817 outputs
Outputs from Clinical and Translational Medicine
#446
of 1,078 outputs
Outputs of similar age
#251,382
of 481,927 outputs
Outputs of similar age from Clinical and Translational Medicine
#4
of 12 outputs
Altmetric has tracked 25,837,817 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 1,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 55% 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 481,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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 58% of its contemporaries.