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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 264)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
401 Dimensions

Readers on

mendeley
332 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 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 332 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 15%
Student > Bachelor 47 14%
Student > Ph. D. Student 35 11%
Researcher 31 9%
Student > Doctoral Student 20 6%
Other 36 11%
Unknown 113 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 95 29%
Pharmacology, Toxicology and Pharmaceutical Science 27 8%
Medicine and Dentistry 24 7%
Agricultural and Biological Sciences 18 5%
Immunology and Microbiology 10 3%
Other 37 11%
Unknown 121 36%

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
#2,201,838
of 22,721,584 outputs
Outputs from Ai zheng Aizheng Chinese journal of cancer
#20
of 264 outputs
Outputs of similar age
#44,853
of 315,174 outputs
Outputs of similar age from Ai zheng Aizheng Chinese journal of cancer
#2
of 11 outputs
Altmetric has tracked 22,721,584 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 264 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 315,174 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 11 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.