| Title |
Cluster of Differentiation 44 Targeted Hyaluronic Acid Based Nanoparticles for MDR1 siRNA Delivery to Overcome Drug Resistance in Ovarian Cancer
|
|---|---|
| Published in |
Pharmaceutical Research, December 2014
|
| DOI | 10.1007/s11095-014-1602-1 |
| Pubmed ID | |
| Authors |
Xiaoqian Yang, Arun K. Iyer, Amit Singh, Lara Milane, Edwin Choy, Francis J. Hornicek, Mansoor M. Amiji, Zhenfeng Duan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Student > Master | 11 | 17% |
| Researcher | 10 | 15% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 19 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 21% |
| Medicine and Dentistry | 8 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 9% |
| Agricultural and Biological Sciences | 5 | 8% |
| Engineering | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 21 | 32% |
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 15 April 2016.
All research outputs
#15,362,987
of 22,854,458 outputs
Outputs from Pharmaceutical Research
#2,235
of 2,857 outputs
Outputs of similar age
#196,130
of 331,546 outputs
Outputs of similar age from Pharmaceutical Research
#26
of 37 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,857 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 331,546 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.