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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Model of Dendritic Cell Therapy for Melanoma
|
|---|---|
| Published in |
Frontiers in oncology, January 2013
|
| DOI | 10.3389/fonc.2013.00056 |
| Pubmed ID | |
| Authors |
Lisette DePillis, Angela Gallegos, Ami Radunskaya |
| Abstract |
Dendritic cells are a promising immunotherapy tool for boosting an individual's antigen-specific immune response to cancer. We develop a mathematical model using differential and delay-differential equations to describe the interactions between dendritic cells, effector-immune cells, and tumor cells. We account for the trafficking of immune cells between lymph, blood, and tumor compartments. Our model reflects experimental results both for dendritic cell trafficking and for immune suppression of tumor growth in mice. In addition, in silico experiments suggest more effective immunotherapy treatment protocols can be achieved by modifying dose location and schedule. A sensitivity analysis of the model reveals which patient-specific parameters have the greatest impact on treatment efficacy. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Bachelor | 12 | 17% |
| Researcher | 9 | 13% |
| Student > Doctoral Student | 7 | 10% |
| Other | 6 | 9% |
| Other | 12 | 17% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 19% |
| Mathematics | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Engineering | 5 | 7% |
| Other | 19 | 28% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 October 2015.
All research outputs
#15,450,542
of 25,932,719 outputs
Outputs from Frontiers in oncology
#4,560
of 22,839 outputs
Outputs of similar age
#174,070
of 291,797 outputs
Outputs of similar age from Frontiers in oncology
#84
of 327 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,839 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 79% 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 291,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 327 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 72% of its contemporaries.