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Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms

Overview of attention for article published in Particle and Fibre Toxicology, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 549)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
10 news outlets
twitter
2560 tweeters
patent
4 patents
facebook
1 Facebook page
wikipedia
4 Wikipedia pages
reddit
2 Redditors

Citations

dimensions_citation
404 Dimensions

Readers on

mendeley
506 Mendeley
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Title
Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms
Published in
Particle and Fibre Toxicology, October 2016
DOI 10.1186/s12989-016-0168-y
Pubmed ID
Authors

Lingling Ou, Bin Song, Huimin Liang, Jia Liu, Xiaoli Feng, Bin Deng, Ting Sun, Longquan Shao

Abstract

Due to their unique physicochemical properties, graphene-family nanomaterials (GFNs) are widely used in many fields, especially in biomedical applications. Currently, many studies have investigated the biocompatibility and toxicity of GFNs in vivo and in intro. Generally, GFNs may exert different degrees of toxicity in animals or cell models by following with different administration routes and penetrating through physiological barriers, subsequently being distributed in tissues or located in cells, eventually being excreted out of the bodies. This review collects studies on the toxic effects of GFNs in several organs and cell models. We also point out that various factors determine the toxicity of GFNs including the lateral size, surface structure, functionalization, charge, impurities, aggregations, and corona effect ect. In addition, several typical mechanisms underlying GFN toxicity have been revealed, for instance, physical destruction, oxidative stress, DNA damage, inflammatory response, apoptosis, autophagy, and necrosis. In these mechanisms, (toll-like receptors-) TLR-, transforming growth factor β- (TGF-β-) and tumor necrosis factor-alpha (TNF-α) dependent-pathways are involved in the signalling pathway network, and oxidative stress plays a crucial role in these pathways. In this review, we summarize the available information on regulating factors and the mechanisms of GFNs toxicity, and propose some challenges and suggestions for further investigations of GFNs, with the aim of completing the toxicology mechanisms, and providing suggestions to improve the biological safety of GFNs and facilitate their wide application.

Twitter Demographics

The data shown below were collected from the profiles of 2,560 tweeters 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 506 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 506 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 19%
Student > Master 81 16%
Researcher 61 12%
Student > Bachelor 60 12%
Student > Doctoral Student 30 6%
Other 78 15%
Unknown 102 20%
Readers by discipline Count As %
Engineering 53 10%
Biochemistry, Genetics and Molecular Biology 53 10%
Materials Science 49 10%
Chemistry 48 9%
Agricultural and Biological Sciences 30 6%
Other 132 26%
Unknown 141 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 2116. 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 15 August 2022.
All research outputs
#3,211
of 21,802,481 outputs
Outputs from Particle and Fibre Toxicology
#1
of 549 outputs
Outputs of similar age
#42
of 316,424 outputs
Outputs of similar age from Particle and Fibre Toxicology
#1
of 13 outputs
Altmetric has tracked 21,802,481 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 549 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 99% 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 316,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 13 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 99% of its contemporaries.