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Mendeley readers
Attention Score in Context
| Title |
Cells Assemble Invadopodia-Like Structures and Invade into Matrigel in a Matrix Metalloprotease Dependent Manner in the Circular Invasion Assay
|
|---|---|
| Published in |
PLOS ONE, February 2012
|
| DOI | 10.1371/journal.pone.0030605 |
| Pubmed ID | |
| Authors |
Xinzi Yu, Laura M. Machesky |
| Abstract |
The ability of tumor cells to invade is one of the hallmarks of the metastatic phenotype. To elucidate the mechanisms by which tumor cells acquire an invasive phenotype, in vitro assays have been developed that mimic the process of cancer cell invasion through basement membrane or in the stroma. We have extended the characterization of the circular invasion assay and found that it provides a simple and amenable system to study cell invasion in matrix in an environment that closely mimics 3D invasion. Furthermore, it allows detailed microscopic analysis of both live and fixed cells during the invasion process. We find that cells invade in a protease dependent manner in this assay and that they assemble focal adhesions and invadopodia that resemble structures visualized in 3D embedded cells. We propose that this is a useful assay for routine and medium throughput analysis of invasion of cancer cells in vitro and the study of cells migrating in a 3D environment. |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 109 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 32% |
| Researcher | 18 | 16% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 9 | 8% |
| Student > Bachelor | 9 | 8% |
| Other | 17 | 15% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 35% |
| Biochemistry, Genetics and Molecular Biology | 28 | 24% |
| Engineering | 9 | 8% |
| Medicine and Dentistry | 6 | 5% |
| Chemistry | 4 | 3% |
| Other | 9 | 8% |
| Unknown | 19 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 July 2023.
All research outputs
#4,026,309
of 24,081,774 outputs
Outputs from PLOS ONE
#49,756
of 206,887 outputs
Outputs of similar age
#34,001
of 254,593 outputs
Outputs of similar age from PLOS ONE
#642
of 3,423 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 206,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 75% 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 254,593 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 86% of its contemporaries.
We're also able to compare this research output to 3,423 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.