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Targeted Nanotechnology in Glioblastoma Multiforme

Overview of attention for article published in Frontiers in Pharmacology, March 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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7 X users

Citations

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133 Dimensions

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231 Mendeley
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Title
Targeted Nanotechnology in Glioblastoma Multiforme
Published in
Frontiers in Pharmacology, March 2017
DOI 10.3389/fphar.2017.00166
Pubmed ID
Authors

Talita Glaser, Inbo Han, Liquan Wu, Xiang Zeng

Abstract

Gliomas, and in particular glioblastoma multiforme, are aggressive brain tumors characterized by a poor prognosis and high rates of recurrence. Current treatment strategies are based on open surgery, chemotherapy (temozolomide) and radiotherapy. However, none of these treatments, alone or in combination, are considered effective in managing this devastating disease, resulting in a median survival time of less than 15 months. The efficiency of chemotherapy is mainly compromised by the blood-brain barrier (BBB) that selectively inhibits drugs from infiltrating into the tumor mass. Cancer stem cells (CSCs), with their unique biology and their resistance to both radio- and chemotherapy, compound tumor aggressiveness and increase the chances of treatment failure. Therefore, more effective targeted therapeutic regimens are urgently required. In this article, some well-recognized biological features and biomarkers of this specific subgroup of tumor cells are profiled and new strategies and technologies in nanomedicine that explicitly target CSCs, after circumventing the BBB, are detailed. Major achievements in the development of nanotherapies, such as organic poly(propylene glycol) and poly(ethylene glycol) or inorganic (iron and gold) nanoparticles that can be conjugated to metal ions, liposomes, dendrimers and polymeric micelles, form the main scope of this summary. Moreover, novel biological strategies focused on manipulating gene expression (small interfering RNA and clustered regularly interspaced short palindromic repeats [CRISPR]/CRISPR associated protein 9 [Cas 9] technologies) for cancer therapy are also analyzed. The aim of this review is to analyze the gap between CSC biology and the development of targeted therapies. A better understanding of CSC properties could result in the development of precise nanotherapies to fulfill unmet clinical needs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 230 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 19%
Student > Master 35 15%
Student > Bachelor 33 14%
Researcher 15 6%
Student > Doctoral Student 10 4%
Other 27 12%
Unknown 68 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 13%
Pharmacology, Toxicology and Pharmaceutical Science 29 13%
Medicine and Dentistry 27 12%
Agricultural and Biological Sciences 22 10%
Neuroscience 12 5%
Other 36 16%
Unknown 75 32%
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 06 November 2017.
All research outputs
#7,461,924
of 25,815,269 outputs
Outputs from Frontiers in Pharmacology
#3,375
of 20,020 outputs
Outputs of similar age
#110,560
of 325,052 outputs
Outputs of similar age from Frontiers in Pharmacology
#42
of 201 outputs
Altmetric has tracked 25,815,269 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 20,020 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 325,052 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 65% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.