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Autophagy and multidrug resistance in cancer

Overview of attention for article published in Ai zheng Aizheng Chinese journal of cancer, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 257)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
355 Dimensions

Readers on

mendeley
306 Mendeley
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Title
Autophagy and multidrug resistance in cancer
Published in
Ai zheng Aizheng Chinese journal of cancer, June 2017
DOI 10.1186/s40880-017-0219-2
Pubmed ID
Authors

Ying-Jie Li, Yu-He Lei, Nan Yao, Chen-Ran Wang, Nan Hu, Wen-Cai Ye, Dong-Mei Zhang, Zhe-Sheng Chen

Abstract

Multidrug resistance (MDR) occurs frequently after long-term chemotherapy, resulting in refractory cancer and tumor recurrence. Therefore, combatting MDR is an important issue. Autophagy, a self-degradative system, universally arises during the treatment of sensitive and MDR cancer. Autophagy can be a double-edged sword for MDR tumors: it participates in the development of MDR and protects cancer cells from chemotherapeutics but can also kill MDR cancer cells in which apoptosis pathways are inactive. Autophagy induced by anticancer drugs could also activate apoptosis signaling pathways in MDR cells, facilitating MDR reversal. Therefore, research on the regulation of autophagy to combat MDR is expanding and is becoming increasingly important. We summarize advanced studies of autophagy in MDR tumors, including the variable role of autophagy in MDR cancer cells.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 306 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 16%
Student > Bachelor 48 16%
Student > Ph. D. Student 33 11%
Researcher 31 10%
Student > Doctoral Student 19 6%
Other 29 9%
Unknown 98 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 95 31%
Pharmacology, Toxicology and Pharmaceutical Science 25 8%
Medicine and Dentistry 22 7%
Agricultural and Biological Sciences 16 5%
Immunology and Microbiology 10 3%
Other 35 11%
Unknown 103 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 June 2022.
All research outputs
#2,073,765
of 21,708,871 outputs
Outputs from Ai zheng Aizheng Chinese journal of cancer
#20
of 257 outputs
Outputs of similar age
#40,606
of 286,449 outputs
Outputs of similar age from Ai zheng Aizheng Chinese journal of cancer
#1
of 1 outputs
Altmetric has tracked 21,708,871 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 92% 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 286,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them