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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, October 2011
|
| DOI | 10.1186/1742-4682-8-36 |
| Pubmed ID | |
| Authors |
Kun-Wan Chen, Kenneth J Pienta |
| Abstract |
The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact). |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 4% |
| United States | 2 | 4% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 39 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Researcher | 11 | 23% |
| Professor | 6 | 13% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 7 | 15% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 31% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Mathematics | 7 | 15% |
| Medicine and Dentistry | 6 | 13% |
| Engineering | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 July 2019.
All research outputs
#6,746,355
of 22,653,392 outputs
Outputs from Theoretical Biology and Medical Modelling
#88
of 286 outputs
Outputs of similar age
#40,685
of 132,696 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#5
of 10 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 286 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 69% 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 132,696 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.