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Theranostics Based on Magnetic Nanoparticles and Polymers: Intelligent Design for Efficient Diagnostics and Therapy

Overview of attention for article published in Frontiers in Chemistry, July 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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3 X users

Citations

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31 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Theranostics Based on Magnetic Nanoparticles and Polymers: Intelligent Design for Efficient Diagnostics and Therapy
Published in
Frontiers in Chemistry, July 2020
DOI 10.3389/fchem.2020.00561
Pubmed ID
Authors

Andrew J. Gauger, Kian K. Hershberger, Lyudmila M. Bronstein

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 14%
Student > Ph. D. Student 6 9%
Student > Bachelor 6 9%
Student > Master 5 8%
Other 4 6%
Other 9 14%
Unknown 25 39%
Readers by discipline Count As %
Chemistry 9 14%
Materials Science 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Biochemistry, Genetics and Molecular Biology 5 8%
Agricultural and Biological Sciences 3 5%
Other 9 14%
Unknown 27 42%
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 12 August 2020.
All research outputs
#15,616,469
of 23,220,133 outputs
Outputs from Frontiers in Chemistry
#1,616
of 6,083 outputs
Outputs of similar age
#247,933
of 397,131 outputs
Outputs of similar age from Frontiers in Chemistry
#78
of 277 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,083 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 71% 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 397,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 277 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.