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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NF-κB as potential target in the treatment of melanoma
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2012
|
| DOI | 10.1186/1479-5876-10-53 |
| Pubmed ID | |
| Authors |
Gabriele Madonna, Claudio Dansky Ullman, Giusy Gentilcore, Giuseppe Palmieri, Paolo Antonio Ascierto |
| Abstract |
The RAS/MAP kinase pathway has attracted attention because activating mutations of the BRAF serine/threonine kinase was described in over 50% of melanomas. Very recently, selective and potent BRAF inhibitors have been developed. Several other signal transduction pathways have been found to be constitutively active or mutated in other subsets of melanoma tumors that are potentially targetable with new agents. Among these, NFκB is another pathway that melanoma tumors use to achieve survival, proliferation and resistance to apoptosis. Inhibition of NF-κB activation appears to be a very promising option for anti-cancer therapies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 154 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 28% |
| Student > Bachelor | 22 | 14% |
| Student > Master | 20 | 13% |
| Researcher | 19 | 12% |
| Student > Doctoral Student | 10 | 6% |
| Other | 19 | 12% |
| Unknown | 23 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 32% |
| Biochemistry, Genetics and Molecular Biology | 37 | 24% |
| Medicine and Dentistry | 20 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 6% |
| Immunology and Microbiology | 5 | 3% |
| Other | 11 | 7% |
| Unknown | 24 | 15% |
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 12 January 2022.
All research outputs
#19,377,359
of 24,677,985 outputs
Outputs from Journal of Translational Medicine
#3,058
of 4,450 outputs
Outputs of similar age
#124,005
of 163,970 outputs
Outputs of similar age from Journal of Translational Medicine
#33
of 51 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 26th percentile – i.e., 26% 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 163,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.