↓ Skip to main content

Wiley Online Library

Porous Silicon Nanoparticle Delivery of Tandem Peptide Anti‐Infectives for the Treatment of Pseudomonas aeruginosa Lung Infections

Overview of attention for article published in Advanced Materials, July 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
13 news outlets
blogs
2 blogs
twitter
2 X users
patent
1 patent
facebook
1 Facebook page
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
129 Mendeley
citeulike
1 CiteULike
Title
Porous Silicon Nanoparticle Delivery of Tandem Peptide Anti‐Infectives for the Treatment of Pseudomonas aeruginosa Lung Infections
Published in
Advanced Materials, July 2017
DOI 10.1002/adma.201701527
Pubmed ID
Authors

Ester J. Kwon, Matthew Skalak, Alessandro Bertucci, Gary Braun, Francesco Ricci, Erkki Ruoslahti, Michael J. Sailor, Sangeeta N. Bhatia

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 19 15%
Student > Bachelor 17 13%
Student > Master 12 9%
Student > Doctoral Student 9 7%
Other 7 5%
Unknown 32 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 13%
Engineering 17 13%
Materials Science 14 11%
Chemistry 13 10%
Pharmacology, Toxicology and Pharmaceutical Science 9 7%
Other 25 19%
Unknown 34 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 113. 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 07 September 2018.
All research outputs
#377,949
of 25,998,826 outputs
Outputs from Advanced Materials
#293
of 18,285 outputs
Outputs of similar age
#7,862
of 328,516 outputs
Outputs of similar age from Advanced Materials
#8
of 221 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,285 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 98% 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 328,516 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 97% of its contemporaries.
We're also able to compare this research output to 221 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 96% of its contemporaries.