Title |
Tissue inhibitor of matrix metalloproteinases-1 loaded poly(lactic-co-glycolic acid) nanoparticles for delivery across the blood–brain barrier
|
---|---|
Published in |
International Journal of Nanomedicine, January 2014
|
DOI | 10.2147/ijn.s54750 |
Pubmed ID | |
Authors |
Mayank Chaturvedi, Yves Molino, Bojja Sreedhar, Michel Khrestchatisky, Leszek Kaczmarek |
Abstract |
The aim of this study was to develop poly(lactic-co-glycolic acid) (PLGA) nanoparticles (NPs) for delivery of a protein - tissue inhibitor of matrix metalloproteinases 1 (TIMP-1) - across the blood-brain barrier (BBB) to inhibit deleterious matrix metalloproteinases (MMPs). |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 1% |
Germany | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 64 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 28% |
Student > Master | 8 | 12% |
Researcher | 7 | 10% |
Student > Doctoral Student | 7 | 10% |
Student > Bachelor | 5 | 7% |
Other | 8 | 12% |
Unknown | 13 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 16% |
Agricultural and Biological Sciences | 11 | 16% |
Pharmacology, Toxicology and Pharmaceutical Science | 8 | 12% |
Medicine and Dentistry | 6 | 9% |
Chemistry | 4 | 6% |
Other | 13 | 19% |
Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2014.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from International Journal of Nanomedicine
#2,470
of 4,123 outputs
Outputs of similar age
#202,815
of 319,280 outputs
Outputs of similar age from International Journal of Nanomedicine
#77
of 101 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 319,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.