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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene profiling suggests a common evolution of bladder cancer subtypes
|
|---|---|
| Published in |
BMC Medical Genomics, October 2013
|
| DOI | 10.1186/1755-8794-6-42 |
| Pubmed ID | |
| Authors |
Donna E Hansel, Zhongfa Zhang, David Petillo, Bin T Teh |
| Abstract |
Bladder cancer exists as several distinct subtypes, including urothelial carcinoma (UCa), squamous cell carcinoma (SCCa), adenocarcinoma and small cell carcinoma. These entities, despite showing distinct morphology and clinical behavior, arise from the urothelial lining and are often accompanied by similar precursor/in situ findings. The relationship between these subtypes has not been explored in detail. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 32 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Researcher | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Student > Master | 4 | 12% |
| Other | 3 | 9% |
| Other | 8 | 24% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Medicine and Dentistry | 9 | 26% |
| Engineering | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 October 2013.
All research outputs
#4,725,555
of 25,311,095 outputs
Outputs from BMC Medical Genomics
#212
of 1,390 outputs
Outputs of similar age
#40,647
of 220,007 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 23 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,390 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 84% 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 220,007 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 81% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.