| Title |
Systemic anti-inflammatory therapy aided by double-headed nanoparticles in a canine model of acute intraocular inflammation
|
|---|---|
| Published in |
Science Advances, August 2020
|
| DOI | 10.1126/sciadv.abb7878 |
| Pubmed ID | |
| Authors |
R Ganugula, M Arora, M A Lepiz, Y Niu, B K Mallick, S C Pflugfelder, E M Scott, M N V Ravi Kumar |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| France | 1 | 9% |
| Japan | 1 | 9% |
| Singapore | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Scientists | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Researcher | 2 | 8% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 3 | 13% |
| Chemical Engineering | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 12 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 29 September 2020.
All research outputs
#616,860
of 25,387,668 outputs
Outputs from Science Advances
#4,148
of 12,215 outputs
Outputs of similar age
#18,250
of 424,952 outputs
Outputs of similar age from Science Advances
#184
of 555 outputs
Altmetric has tracked 25,387,668 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 12,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.3. This one has gotten more attention than average, scoring higher than 66% 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 424,952 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 555 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.