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 |
Chronic inhibition of tumor cell-derived VEGF enhances the malignant phenotype of colorectal cancer cells
|
|---|---|
| Published in |
BMC Cancer, May 2013
|
| DOI | 10.1186/1471-2407-13-229 |
| Pubmed ID | |
| Authors |
Naoko Yamagishi, Shigetada Teshima-Kondo, Kiyoshi Masuda, Kensei Nishida, Yuki Kuwano, Duyen T Dang, Long H Dang, Takeshi Nikawa, Kazuhito Rokutan |
| Abstract |
Vascular endothelial growth factor-a (VEGF)-targeted therapies have become an important treatment for a number of human malignancies. The VEGF inhibitors are actually effective in several types of cancers, however, the benefits are transiently, and the vast majority of patients who initially respond to the therapies will develop resistance. One of possible mechanisms for the acquired resistance may be the direct effect(s) of VEGF inhibitors on tumor cells expressing VEGF receptors (VEGFR). Thus, we investigated here the direct effect of chronic VEGF inhibition on phenotype changes in human colorectal cancer (CRC) cells. |
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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 42 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Student > Master | 7 | 16% |
| Researcher | 6 | 14% |
| Professor | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 34% |
| Medicine and Dentistry | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Immunology and Microbiology | 1 | 2% |
| Energy | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 8 | 18% |
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 09 May 2013.
All research outputs
#20,809,309
of 23,416,487 outputs
Outputs from BMC Cancer
#6,627
of 8,468 outputs
Outputs of similar age
#170,213
of 194,973 outputs
Outputs of similar age from BMC Cancer
#90
of 98 outputs
Altmetric has tracked 23,416,487 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 8,468 research outputs from this source. They receive a mean Attention Score of 4.4. 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 194,973 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 98 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.