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Therapeutic antitumor efficacy of tumor-derived autophagosome (DRibble) vaccine on head and neck cancer

Overview of attention for article published in International Journal of Nanomedicine, March 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
20 Mendeley
Title
Therapeutic antitumor efficacy of tumor-derived autophagosome (DRibble) vaccine on head and neck cancer
Published in
International Journal of Nanomedicine, March 2015
DOI 10.2147/ijn.s74204
Pubmed ID
Authors

Yongbin Mou, Hang Su, Qiong Luo, Hao Xie, Xiaofeng Huang, Yanhong Ni, Qingang Hu

Abstract

Vaccines play important roles in antitumor biotherapy. Autophagy in tumor cells plays a critical role in depredating proteins, including tumor-specific antigens and tumor-associated antigens. We aimed to induce and collect tumor-derived autophagosomes (DRibbles) from tumor cells as a novel antitumor vaccine by inhibiting the functions of proteasomes and lysosomes.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 3 15%
Professor > Associate Professor 2 10%
Student > Master 2 10%
Student > Postgraduate 2 10%
Other 5 25%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Immunology and Microbiology 3 15%
Computer Science 1 5%
Other 1 5%
Unknown 4 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 March 2015.
All research outputs
#1,876,828
of 4,897,807 outputs
Outputs from International Journal of Nanomedicine
#163
of 1,283 outputs
Outputs of similar age
#54,579
of 145,281 outputs
Outputs of similar age from International Journal of Nanomedicine
#3
of 16 outputs
Altmetric has tracked 4,897,807 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 1,283 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 85% 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 145,281 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 61% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.