| Title |
An AAV-Based NF-κB-Targeting Gene Therapy (rAAV-DMP-miR533) to Inflammatory Diseases
|
|---|---|
| Published in |
Journal of Inflammation Research, June 2022
|
| DOI | 10.2147/jir.s362732 |
| Pubmed ID | |
| Authors |
Tao Luo, Yile Wang, Hailin Tang, Fei Zhou, Ying Chen, Bing Pei, Jinke Wang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 50% |
| Student > Master | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Philosophy | 1 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Immunology and Microbiology | 1 | 25% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 June 2022.
All research outputs
#5,525,125
of 25,656,290 outputs
Outputs from Journal of Inflammation Research
#146
of 979 outputs
Outputs of similar age
#114,940
of 447,981 outputs
Outputs of similar age from Journal of Inflammation Research
#13
of 65 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 979 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 84% 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 447,981 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 74% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.