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Mendeley readers
Attention Score in Context
| Title |
Pathway analysis of kidney cancer using proteomics and metabolic profiling
|
|---|---|
| Published in |
Molecular Cancer, November 2006
|
| DOI | 10.1186/1476-4598-5-64 |
| Pubmed ID | |
| Authors |
Bertrand Perroud, Jinoo Lee, Nelly Valkova, Amy Dhirapong, Pei-Yin Lin, Oliver Fiehn, Dietmar Kültz, Robert H Weiss |
| Abstract |
Renal cell carcinoma (RCC) is the sixth leading cause of cancer death and is responsible for 11,000 deaths per year in the US. Approximately one-third of patients present with disease which is already metastatic and for which there is currently no adequate treatment, and no biofluid screening tests exist for RCC. In this study, we have undertaken a comprehensive proteomic analysis and subsequently a pathway and network approach to identify biological processes involved in clear cell RCC (ccRCC). We have used these data to investigate urinary markers of RCC which could be applied to high-risk patients, or to those being followed for recurrence, for early diagnosis and treatment, thereby substantially reducing mortality of this disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| United Kingdom | 2 | 1% |
| Russia | 2 | 1% |
| France | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 144 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 26% |
| Student > Ph. D. Student | 38 | 25% |
| Professor | 13 | 8% |
| Student > Master | 12 | 8% |
| Student > Doctoral Student | 11 | 7% |
| Other | 26 | 17% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 45% |
| Biochemistry, Genetics and Molecular Biology | 21 | 14% |
| Medicine and Dentistry | 13 | 8% |
| Computer Science | 9 | 6% |
| Chemistry | 7 | 5% |
| Other | 17 | 11% |
| Unknown | 19 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 November 2013.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Molecular Cancer
#546
of 1,719 outputs
Outputs of similar age
#41,480
of 155,479 outputs
Outputs of similar age from Molecular Cancer
#10
of 17 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,719 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 55% 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 155,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.