| Title |
Long Non-Coding RNAs Regulate Inflammation in Diabetic Peripheral Neuropathy by Acting as ceRNAs Targeting miR-146a-5p
|
|---|---|
| Published in |
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, February 2020
|
| DOI | 10.2147/dmso.s242789 |
| Pubmed ID | |
| Authors |
Yonghao Feng, Ying Ge, Men Wu, Yangmei Xie, Ming Wang, Yinghui Chen, Xiaohong Shi |
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 % |
|---|---|---|
| United States | 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 16% |
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 36% |
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 01 March 2020.
All research outputs
#22,970,839
of 25,611,630 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#1,012
of 1,193 outputs
Outputs of similar age
#405,461
of 475,565 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#45
of 49 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,193 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% 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 475,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.