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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Parallel screening of FDA-approved antineoplastic drugs for identifying sensitizers of TRAIL-induced apoptosis in cancer cells
|
|---|---|
| Published in |
BMC Cancer, November 2011
|
| DOI | 10.1186/1471-2407-11-470 |
| Pubmed ID | |
| Authors |
David J Taylor, Christine E Parsons, Haiyong Han, Arul Jayaraman, Kaushal Rege |
| Abstract |
Tumor Necrosis Factor-α Related Apoptosis Inducing Ligand (TRAIL) and agonistic antibodies to death receptor 4 and 5 are promising candidates for cancer therapy due to their ability to induce apoptosis selectively in a variety of human cancer cells, while demonstrating little cytotoxicity in normal cells. Although TRAIL and agonistic antibodies to DR4 and DR5 are considered safe and promising candidates in cancer therapy, many malignant cells are resistant to DR-mediated, TRAIL-induced apoptosis. In the current work, we screened a small library of fifty-five FDA and foreign-approved anti-neoplastic drugs in order to identify candidates that sensitized resistant prostate and pancreatic cancer cells to TRAIL-induced apoptosis. |
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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 27% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 6 | 12% |
| Professor > Associate Professor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 27% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Medicine and Dentistry | 7 | 13% |
| Chemistry | 5 | 10% |
| Computer Science | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 11 | 21% |
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 02 February 2021.
All research outputs
#6,376,108
of 22,656,971 outputs
Outputs from BMC Cancer
#1,625
of 8,237 outputs
Outputs of similar age
#39,258
of 141,726 outputs
Outputs of similar age from BMC Cancer
#17
of 100 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,237 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 141,726 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 70% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.