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Mendeley readers
Attention Score in Context
| Title |
What We Learned From Big Data for Autophagy Research
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, August 2018
|
| DOI | 10.3389/fcell.2018.00092 |
| Pubmed ID | |
| Authors |
Anne-Claire Jacomin, Lejla Gul, Padhmanand Sudhakar, Tamas Korcsmaros, Ioannis P. Nezis |
| Abstract |
Autophagy is the process by which cytoplasmic components are engulfed in double-membraned vesicles before being delivered to the lysosome to be degraded. Defective autophagy has been linked to a vast array of human pathologies. The molecular mechanism of the autophagic machinery is well-described and has been extensively investigated. However, understanding the global organization of the autophagy system and its integration with other cellular processes remains a challenge. To this end, various bioinformatics and network biology approaches have been developed by researchers in the last few years. Recently, large-scale multi-omics approaches (like genomics, transcriptomics, proteomics, lipidomics, and metabolomics) have been developed and carried out specifically focusing on autophagy, and generating multi-scale data on the related components. In this review, we outline recent applications of in silico investigations and big data analyses of the autophagy process in various biological systems. |
X Demographics
The data shown below were collected from the profiles of 37 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 Kingdom | 5 | 14% |
| United States | 4 | 11% |
| Canada | 3 | 8% |
| Spain | 2 | 5% |
| Chile | 2 | 5% |
| Austria | 1 | 3% |
| Hungary | 1 | 3% |
| Japan | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 51% |
| Scientists | 18 | 49% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 21% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 7 | 8% |
| Student > Master | 6 | 7% |
| Other | 14 | 15% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 27% |
| Agricultural and Biological Sciences | 14 | 15% |
| Immunology and Microbiology | 8 | 9% |
| Medicine and Dentistry | 3 | 3% |
| Neuroscience | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 27 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 11 February 2023.
All research outputs
#1,156,087
of 24,247,965 outputs
Outputs from Frontiers in Cell and Developmental Biology
#118
of 9,857 outputs
Outputs of similar age
#25,117
of 336,492 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#4
of 55 outputs
Altmetric has tracked 24,247,965 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,857 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 336,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.