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e-Graphene: A Computational Platform for the Prediction of Graphene-Based Drug Delivery System by Quantum Genetic Algorithm and Cascade Protocol

Overview of attention for article published in Frontiers in Chemistry, May 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
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Title
e-Graphene: A Computational Platform for the Prediction of Graphene-Based Drug Delivery System by Quantum Genetic Algorithm and Cascade Protocol
Published in
Frontiers in Chemistry, May 2021
DOI 10.3389/fchem.2021.664355
Pubmed ID
Authors

Suqing Zheng, Jun Xiong, Lei Wang, Dong Zhai, Yong Xu, Fu Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 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 %
Professor 2 20%
Other 2 20%
Researcher 1 10%
Unspecified 1 10%
Unknown 4 40%
Readers by discipline Count As %
Unspecified 1 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Physics and Astronomy 1 10%
Engineering 1 10%
Other 0 0%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 December 2021.
All research outputs
#6,497,054
of 23,993,601 outputs
Outputs from Frontiers in Chemistry
#446
of 6,333 outputs
Outputs of similar age
#135,088
of 430,438 outputs
Outputs of similar age from Frontiers in Chemistry
#24
of 329 outputs
Altmetric has tracked 23,993,601 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,333 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 92% 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 430,438 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 68% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.