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Biological modeling of gadolinium-based nanoparticles radio-enhancement for kilovoltage photons: a Monte Carlo study

Overview of attention for article published in Cancer Nanotechnology, May 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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8 Mendeley
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Title
Biological modeling of gadolinium-based nanoparticles radio-enhancement for kilovoltage photons: a Monte Carlo study
Published in
Cancer Nanotechnology, May 2023
DOI 10.1186/s12645-023-00202-w
Authors

Jianan Wu, Xiaohan Xu, Ying Liang, Tujia Chen, Enzhuo Quan, Luhua Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 13%
Lecturer 1 13%
Unknown 6 75%
Readers by discipline Count As %
Business, Management and Accounting 1 13%
Neuroscience 1 13%
Unknown 6 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 May 2023.
All research outputs
#19,090,999
of 23,660,057 outputs
Outputs from Cancer Nanotechnology
#110
of 205 outputs
Outputs of similar age
#139,290
of 203,418 outputs
Outputs of similar age from Cancer Nanotechnology
#8
of 24 outputs
Altmetric has tracked 23,660,057 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 205 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% 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 203,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.