| Title |
Autophagy inhibitors
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, December 2015
|
| DOI | 10.1007/s00018-015-2104-y |
| Pubmed ID | |
| Authors |
Benoit Pasquier |
| Abstract |
Autophagy is a lysosome-dependent mechanism of intracellular degradation. The cellular and molecular mechanisms underlying this process are highly complex and involve multiple proteins, including the kinases ULK1 and Vps34. The main function of autophagy is the maintenance of cell survival when modifications occur in the cellular environment. During the past decade, extensive studies have greatly improved our knowledge and autophagy has exploded as a research field. This process is now widely implicated in pathophysiological processes such as cancer, metabolic, and neurodegenerative disorders, making it an attractive target for drug discovery. In this review, we will summarize the different types of inhibitors that affect the autophagy machinery and provide some potential therapeutic perspectives. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | <1% |
| Unknown | 304 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 26% |
| Researcher | 34 | 11% |
| Student > Master | 29 | 10% |
| Student > Bachelor | 27 | 9% |
| Student > Doctoral Student | 18 | 6% |
| Other | 35 | 11% |
| Unknown | 83 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 88 | 29% |
| Agricultural and Biological Sciences | 29 | 10% |
| Medicine and Dentistry | 28 | 9% |
| Chemistry | 18 | 6% |
| Immunology and Microbiology | 11 | 4% |
| Other | 34 | 11% |
| Unknown | 97 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 April 2024.
All research outputs
#4,941,505
of 25,784,004 outputs
Outputs from Cellular and Molecular Life Sciences
#1,047
of 5,942 outputs
Outputs of similar age
#73,970
of 397,622 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#13
of 59 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,942 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 81% 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 397,622 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 80% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.