| Title |
Autophagy signal transduction by ATG proteins: from hierarchies to networks
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, September 2015
|
| DOI | 10.1007/s00018-015-2034-8 |
| Pubmed ID | |
| Authors |
Sebastian Wesselborg, Björn Stork |
| Abstract |
Autophagy represents an intracellular degradation process which is involved in both cellular homeostasis and disease settings. In the last two decades, the molecular machinery governing this process has been characterized in detail. To date, several key factors regulating this intracellular degradation process have been identified. The so-called autophagy-related (ATG) genes and proteins are central to this process. However, several additional molecules contribute to the outcome of an autophagic response. Several review articles describing the molecular process of autophagy have been published in the recent past. In this review article we would like to add the most recent findings to this knowledge, and to give an overview of the network character of the autophagy signaling machinery. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Czechia | 1 | <1% |
| Canada | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 241 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 21% |
| Student > Bachelor | 40 | 16% |
| Student > Master | 35 | 14% |
| Researcher | 26 | 11% |
| Student > Doctoral Student | 18 | 7% |
| Other | 25 | 10% |
| Unknown | 51 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 72 | 29% |
| Agricultural and Biological Sciences | 52 | 21% |
| Immunology and Microbiology | 18 | 7% |
| Medicine and Dentistry | 17 | 7% |
| Neuroscience | 12 | 5% |
| Other | 22 | 9% |
| Unknown | 53 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 November 2017.
All research outputs
#7,591,533
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#1,602
of 4,151 outputs
Outputs of similar age
#90,312
of 275,749 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#19
of 64 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 61% 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 275,749 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 66% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.