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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioorthogonal Engineered Virus-Like Nanoparticles for Efficient Gene Therapy
|
|---|---|
| Published in |
Nano-Micro Letters, August 2023
|
| DOI | 10.1007/s40820-023-01153-y |
| Pubmed ID | |
| Authors |
Chun-Jie Bao, Jia-Lun Duan, Ying Xie, Xin-Ping Feng, Wei Cui, Song-Yue Chen, Pei-Shan Li, Yi-Xuan Liu, Jin-Ling Wang, Gui-Ling Wang, Wan-Liang Lu |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Professor > Associate Professor | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 2 | 22% |
| Materials Science | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Unknown | 5 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 18 December 2023.
All research outputs
#2,521,553
of 25,030,708 outputs
Outputs from Nano-Micro Letters
#25
of 1,163 outputs
Outputs of similar age
#41,269
of 341,521 outputs
Outputs of similar age from Nano-Micro Letters
#2
of 53 outputs
Altmetric has tracked 25,030,708 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,163 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 97% 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 341,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 53 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 98% of its contemporaries.