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Efficient Determination of PML/RARα Fusion Gene by the Electrochemical DNA Biosensor Based on Carbon Dots/Graphene Oxide Nanocomposites

Overview of attention for article published in International Journal of Nanomedicine, May 2021
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
Title
Efficient Determination of PML/RARα Fusion Gene by the Electrochemical DNA Biosensor Based on Carbon Dots/Graphene Oxide Nanocomposites
Published in
International Journal of Nanomedicine, May 2021
DOI 10.2147/ijn.s308258
Pubmed ID
Authors

Zi-Yang Zhang, Lin-Xiao Huang, Zhi-Wei Xu, Peng Wang, Yun Lei, Ai-Lin Liu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Unspecified 2 15%
Student > Postgraduate 1 8%
Unknown 6 46%
Readers by discipline Count As %
Unspecified 2 15%
Chemical Engineering 1 8%
Materials Science 1 8%
Medicine and Dentistry 1 8%
Unknown 8 62%

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 31 May 2021.
All research outputs
#18,955,094
of 21,316,546 outputs
Outputs from International Journal of Nanomedicine
#3,085
of 3,560 outputs
Outputs of similar age
#283,688
of 348,324 outputs
Outputs of similar age from International Journal of Nanomedicine
#5
of 5 outputs
Altmetric has tracked 21,316,546 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,560 research outputs from this source. They receive a mean Attention Score of 4.2. 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 348,324 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.