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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data
|
|---|---|
| Published in |
Cancer Nanotechnology, January 2017
|
| DOI | 10.1186/s12645-016-0025-6 |
| Pubmed ID | |
| Authors |
Jeremy M. C. Brown, Fred J. Currell |
| Abstract |
A local effect model (LEM)-based framework capable of interpolating nanoparticle-enhanced photon-irradiated clonogenic cell survival fraction measurements as a function of nanoparticle concentration was developed and experimentally benchmarked for gold nanoparticle (AuNP)-doped bovine aortic endothelial cells (BAECs) under superficial kilovoltage X-ray irradiation. For three different superficial kilovoltage X-ray spectra, the BAEC survival fraction response was predicted for two different AuNP concentrations and compared to experimental data. The ability of the developed framework to predict the cell survival fraction trends is analysed and discussed. This developed framework is intended to fill in the existing gaps of individual cell line response as a function of NP concentration under photon irradiation and assist the scientific community in planning future pre-clinical trials of high Z nanoparticle-enhanced photon radiotherapy. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 10 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 13 | 36% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Chemistry | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 February 2017.
All research outputs
#14,329,603
of 22,952,268 outputs
Outputs from Cancer Nanotechnology
#66
of 164 outputs
Outputs of similar age
#229,519
of 420,204 outputs
Outputs of similar age from Cancer Nanotechnology
#3
of 4 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 52% 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 420,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.