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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antitumor efficacy of a recombinant adenovirus encoding endostatin combined with an E1B55KD-deficient adenovirus in gastric cancer cells
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2013
|
| DOI | 10.1186/1479-5876-11-257 |
| Pubmed ID | |
| Authors |
Li-xia Li, Yan-ling Zhang, Ling Zhou, Miao-la Ke, Jie-min Chen, Xiang Fu, Chun-ling Ye, Jiang-xue Wu, Ran-yi Liu, Wenlin Huang |
| Abstract |
Gene therapy using a recombinant adenovirus (Ad) encoding secretory human endostatin (Ad-Endo) has been demonstrated to be a promising antiangiogenesis and antitumor strategy of in animal models and clinical trials. The E1B55KD-deficient Ad dl1520 was also found to replicate selectively in and destroy cancer cells. In this study, we aimed to investigate the antitumor effects of antiangiogenic agent Ad-Endo combined with the oncolytic Ad dl1520 on gastric cancer (GC) in vitro and in vivo and determine the mechanisms of these effects. |
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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 16% |
| Student > Doctoral Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Agricultural and Biological Sciences | 4 | 13% |
| Chemical Engineering | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 12 | 39% |
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 20 September 2023.
All research outputs
#7,939,705
of 24,580,204 outputs
Outputs from Journal of Translational Medicine
#1,320
of 4,415 outputs
Outputs of similar age
#70,022
of 216,645 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 69 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 68% 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 216,645 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 66% of its contemporaries.
We're also able to compare this research output to 69 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 68% of its contemporaries.