| Title |
Design and in vivo characterization of kidney-targeting multimodal micelles for renal drug delivery
|
|---|---|
| Published in |
Nano Research, June 2018
|
| DOI | 10.1007/s12274-018-2100-2 |
| Authors |
Jonathan Wang, Christopher Poon, Deborah Chin, Sarah Milkowski, Vivian Lu, Kenneth R. Hallows, Eun Ji Chung |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 44% |
| Members of the public | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Researcher | 4 | 9% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 19 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Chemistry | 2 | 5% |
| Chemical Engineering | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 19 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 21 November 2022.
All research outputs
#625,770
of 24,849,927 outputs
Outputs from Nano Research
#26
of 3,830 outputs
Outputs of similar age
#14,091
of 335,176 outputs
Outputs of similar age from Nano Research
#2
of 60 outputs
Altmetric has tracked 24,849,927 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,830 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 99% 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 335,176 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 95% of its contemporaries.
We're also able to compare this research output to 60 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.