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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and characterization of a high-throughput in vitro cord formation model insensitive to VEGF inhibition
|
|---|---|
| Published in |
Journal of Hematology & Oncology, April 2013
|
| DOI | 10.1186/1756-8722-6-31 |
| Pubmed ID | |
| Authors |
Beverly L Falcon, Belinda O’Clair, Don McClure, Glenn F Evans, Julie Stewart, Michelle L Swearingen, Yuefeng Chen, Kevin Allard, Linda N Lee, Kuldeep Neote, Dyke P McEwen, Mark T Uhlik, Sudhakar Chintharlapalli |
| Abstract |
Anti-VEGF therapy reduces tumor blood vessels, however, some vessels always remain. These VEGF insensitive vessels may help support continued tumor growth and metastases. Many in vitro assays examining multiple steps of the angiogenic process have been described, but the majority of these assays are sensitive to VEGF inhibition. There has been little focus on the development of high-throughput, in vitro assays to model the vessels that are insensitive to VEGF inhibition. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Unknown | 82 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 33 | 39% |
| Researcher | 30 | 36% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Bachelor | 4 | 5% |
| Student > Doctoral Student | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 63% |
| Medicine and Dentistry | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Engineering | 3 | 4% |
| Chemistry | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 6 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Journal of Hematology & Oncology
#1,032
of 1,188 outputs
Outputs of similar age
#168,427
of 193,472 outputs
Outputs of similar age from Journal of Hematology & Oncology
#10
of 10 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,188 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 193,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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.