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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Exploring MicroRNAs on NIX-Dependent Mitophagy
|
|---|---|
| Chapter number | 15 |
| Book title |
Mitophagy
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/7651_2017_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7749-9, 978-1-4939-7750-5
|
| Authors |
Li, Wen, Chen, Hao, Li, Shupeng, Lin, Guanghong, Feng, Du, Wen Li, Hao Chen, Shupeng Li, Guanghong Lin, Du Feng |
| Abstract |
The dysregulation of autophagy is implicated in many pathological disorders including infections, aging, neurodegenerative diseases, and cancer. Autophagy can be precisely controlled both transcriptionally and translationally. Accumulating evidences show that the autophagy response is regulated by microRNAs, which therefore becomes subject area of interest in recent years. Herein, we give a brief introduction of the recent advancement in the regulation of microRNA on autophagy, and then we focus on the microRNA regulation of the mitophagy receptor, NIX. Finally, we present the methodology on how to study it in detail. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Researcher | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Neuroscience | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 March 2017.
All research outputs
#17,884,576
of 22,961,203 outputs
Outputs from Methods in molecular biology
#7,260
of 13,136 outputs
Outputs of similar age
#221,135
of 309,205 outputs
Outputs of similar age from Methods in molecular biology
#149
of 295 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 309,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 295 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.