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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RNA interference for multiple myeloma therapy: targeting signal transduction pathways
|
|---|---|
| Published in |
Expert Opinion on Therapeutic Targets, July 2015
|
| DOI | 10.1517/14728222.2015.1071355 |
| Pubmed ID | |
| Authors |
Jianfeng Guo, Sharon L McKenna, Michael E O'Dwyer, Mary R Cahill, Caitriona M O'Driscoll |
| Abstract |
Multiple myeloma (MM) is a hematological malignancy characterized by infiltration of malignant plasma cells in the bone marrow (BM) and end-organ damage to the bone, BM, kidney and immune system. Although current treatments have improved the treatment of MM, it still remains an incurable disease. RNA interference (RNAi) effectors such as microRNAs and small interference RNAs have shown potential to selectively downregulate genes implicated in the pathology of a range of diseases. Signaling pathways that facilitate growth, survival and migration of MM cells, provide resistance to conventional therapies, and therefore, target these signaling pathways will prove promising for MM treatment. Areas covered: This review focuses on signaling pathways associated with the development of myeloma cells and how interaction of these cells with the tumor microenvironment impacts disease progression. Together these elements provide potential therapeutic targets for RNAi in the future. Expert opinion: Recent advances in oncogenomic studies have revealed the molecular pathogenesis of MM, thus providing new therapeutic targets for RNAi therapy. Pre-clinical evidence suggests that non-viral delivery technology offers the potential to translate this concept into the next generation of RNAi-based therapeutics for MM. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 50% |
| Members of the public | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 13% |
| Professor | 3 | 9% |
| Other | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 8 | 25% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 22% |
| Medicine and Dentistry | 6 | 19% |
| Agricultural and Biological Sciences | 4 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 August 2015.
All research outputs
#14,231,810
of 22,817,213 outputs
Outputs from Expert Opinion on Therapeutic Targets
#743
of 1,135 outputs
Outputs of similar age
#135,838
of 264,028 outputs
Outputs of similar age from Expert Opinion on Therapeutic Targets
#11
of 32 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,135 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 33rd percentile – i.e., 33% 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 264,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 65% of its contemporaries.