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Novel synthesizing method of pH-dependent doxorubicin-loaded anti-CD22-labelled drug delivery nanosystem

Overview of attention for article published in Drug Design, Development and Therapy, September 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

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8 Dimensions

Readers on

mendeley
17 Mendeley
Title
Novel synthesizing method of pH-dependent doxorubicin-loaded anti-CD22-labelled drug delivery nanosystem
Published in
Drug Design, Development and Therapy, September 2015
DOI 10.2147/dddt.s86764
Pubmed ID
Authors

Mengjiao Sun, Jun Wang, Qin Lu, Guohua Xia, Yu Zhang, Lina Song, Yongjun Fang

Abstract

The objective of this study was to investigate the anticancer efficacy of dimercaptosuccinic acid-modified iron oxide magnetic nanoparticles coloaded with anti-CD22 antibodies and doxorubicin (anti-CD22-MNPs-DOX) on non-Hodgkin's lymphoma cells. The physical properties of anti-CD22-MNPs-DOX were studied and its antitumor effect on Raji cells in vitro was evaluated using the Cell Counting Kit-8 assay. Furthermore, cell apoptosis and intracellular accumulation of doxorubicin were determined by flow cytometry. The results revealed that anti-CD22-MNPs-DOX inhibited the proliferation of Raji cells, significantly increased the uptake of doxorubicin, and induced apoptosis. Therefore, it was concluded that a coloaded antibody and chemotherapeutic drug with magnetic nanoparticles might be an efficient targeted treatment strategy for non-Hodgkin's lymphoma.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Other 2 12%
Student > Bachelor 2 12%
Student > Master 2 12%
Professor 1 6%
Other 3 18%
Unknown 2 12%
Readers by discipline Count As %
Immunology and Microbiology 4 24%
Biochemistry, Genetics and Molecular Biology 3 18%
Agricultural and Biological Sciences 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unspecified 1 6%
Other 3 18%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2017.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#580
of 2,268 outputs
Outputs of similar age
#90,708
of 276,789 outputs
Outputs of similar age from Drug Design, Development and Therapy
#31
of 133 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 72% 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 276,789 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 66% of its contemporaries.
We're also able to compare this research output to 133 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 72% of its contemporaries.