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Mendeley readers
Attention Score in Context
| Title |
A gene expression signature of RAS pathway dependence predicts response to PI3K and RAS pathway inhibitors and expands the population of RAS pathway activated tumors
|
|---|---|
| Published in |
BMC Medical Genomics, June 2010
|
| DOI | 10.1186/1755-8794-3-26 |
| Pubmed ID | |
| Authors |
Andrey Loboda, Michael Nebozhyn, Rich Klinghoffer, Jason Frazier, Michael Chastain, William Arthur, Brian Roberts, Theresa Zhang, Melissa Chenard, Brian Haines, Jannik Andersen, Kumiko Nagashima, Cloud Paweletz, Bethany Lynch, Igor Feldman, Hongyue Dai, Pearl Huang, James Watters |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Denmark | 2 | 1% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 163 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 35% |
| Student > Ph. D. Student | 36 | 21% |
| Student > Master | 13 | 7% |
| Other | 12 | 7% |
| Professor > Associate Professor | 11 | 6% |
| Other | 22 | 13% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 37% |
| Biochemistry, Genetics and Molecular Biology | 42 | 24% |
| Medicine and Dentistry | 31 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Computer Science | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 21 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 29 April 2020.
All research outputs
#2,487,638
of 22,992,311 outputs
Outputs from BMC Medical Genomics
#87
of 1,230 outputs
Outputs of similar age
#9,207
of 93,734 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 4 outputs
Altmetric has tracked 22,992,311 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,230 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 93,734 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 89% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them