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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
|
|---|---|
| Published in |
BMC Systems Biology, December 2013
|
| DOI | 10.1186/1752-0509-7-137 |
| Pubmed ID | |
| Authors |
Katrina K Treloar, Matthew J Simpson, Parvathi Haridas, Kerry J Manton, David I Leavesley, DL Sean McElwain, Ruth E Baker |
| Abstract |
The expansion of cell colonies is driven by a delicate balance of several mechanisms including cell motility, cell-to-cell adhesion and cell proliferation. New approaches that can be used to independently identify and quantify the role of each mechanism will help us understand how each mechanism contributes to the expansion process. Standard mathematical modelling approaches to describe such cell colony expansion typically neglect cell-to-cell adhesion, despite the fact that cell-to-cell adhesion is thought to play an important role. |
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% |
| Australia | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Researcher | 8 | 24% |
| Student > Master | 4 | 12% |
| Professor | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 5 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Agricultural and Biological Sciences | 4 | 12% |
| Medicine and Dentistry | 4 | 12% |
| Computer Science | 2 | 6% |
| Other | 8 | 24% |
| Unknown | 5 | 15% |
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 30 December 2013.
All research outputs
#8,491,399
of 25,416,581 outputs
Outputs from BMC Systems Biology
#315
of 1,132 outputs
Outputs of similar age
#96,557
of 320,532 outputs
Outputs of similar age from BMC Systems Biology
#12
of 46 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 71% 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 320,532 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 46 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 73% of its contemporaries.