You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Current Advances in Mathematical Modeling of Anti-Cancer Drug Penetration into Tumor Tissues
|
|---|---|
| Published in |
Frontiers in oncology, January 2013
|
| DOI | 10.3389/fonc.2013.00278 |
| Pubmed ID | |
| Authors |
MunJu Kim, Robert J. Gillies, Katarzyna A. Rejniak |
| Abstract |
Delivery of anti-cancer drugs to tumor tissues, including their interstitial transport and cellular uptake, is a complex process involving various biochemical, mechanical, and biophysical factors. Mathematical modeling provides a means through which to understand this complexity better, as well as to examine interactions between contributing components in a systematic way via computational simulations and quantitative analyses. In this review, we present the current state of mathematical modeling approaches that address phenomena related to drug delivery. We describe how various types of models were used to predict spatio-temporal distributions of drugs within the tumor tissue, to simulate different ways to overcome barriers to drug transport, or to optimize treatment schedules. Finally, we discuss how integration of mathematical modeling with experimental or clinical data can provide better tools to understand the drug delivery process, in particular to examine the specific tissue- or compound-related factors that limit drug penetration through tumors. Such tools will be important in designing new chemotherapy targets and optimal treatment strategies, as well as in developing non-invasive diagnosis to monitor treatment response and detect tumor recurrence. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Saudi Arabia | 1 | 10% |
| South Africa | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| France | 2 | 1% |
| India | 2 | 1% |
| United Kingdom | 2 | 1% |
| Denmark | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 157 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 39% |
| Researcher | 28 | 17% |
| Student > Master | 14 | 8% |
| Student > Bachelor | 11 | 7% |
| Professor > Associate Professor | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 29 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 39 | 23% |
| Agricultural and Biological Sciences | 23 | 14% |
| Mathematics | 17 | 10% |
| Medicine and Dentistry | 12 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Other | 35 | 21% |
| Unknown | 35 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 June 2023.
All research outputs
#5,440,561
of 25,416,581 outputs
Outputs from Frontiers in oncology
#1,939
of 22,488 outputs
Outputs of similar age
#53,602
of 289,146 outputs
Outputs of similar age from Frontiers in oncology
#31
of 328 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,488 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 91% 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 289,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 328 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 90% of its contemporaries.