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Mendeley readers
Attention Score in Context
| Title |
Gene expression and network-based analysis reveals a novel role for hsa-miR-9 and drug control over the p38 network in glioblastoma multiforme progression
|
|---|---|
| Published in |
Genome Medicine, November 2011
|
| DOI | 10.1186/gm293 |
| Pubmed ID | |
| Authors |
Rotem Ben-Hamo, Sol Efroni |
| Abstract |
Glioblastoma multiforme (GBM) is the most common, aggressive and malignant primary tumor of the brain and is associated with one of the worst 5-year survival rates among all human cancers. Identification of molecular interactions that associate with disease progression may be key in finding novel treatments. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Denmark | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 25% |
| Researcher | 12 | 22% |
| Professor > Associate Professor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 31% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Medicine and Dentistry | 6 | 11% |
| Computer Science | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 12 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 December 2011.
All research outputs
#5,422,157
of 25,371,288 outputs
Outputs from Genome Medicine
#995
of 1,585 outputs
Outputs of similar age
#42,229
of 246,482 outputs
Outputs of similar age from Genome Medicine
#9
of 18 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 35th percentile – i.e., 35% 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 246,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.