You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data
|
|---|---|
| Published in |
BMC Medicine, January 2013
|
| DOI | 10.1186/1741-7015-11-12 |
| Pubmed ID | |
| Authors |
Frank Emmert-Streib, Funso Abogunrin, Ricardo de Matos Simoes, Brian Duggan, Mark W Ruddock, Cherith N Reid, Owen Roddy, Lisa White, Hugh F O'Kane, Declan O'Rourke, Neil H Anderson, Thiagarajan Nambirajan, Kate E Williamson |
| Abstract |
Ineffective risk stratification can delay diagnosis of serious disease in patients with hematuria. We applied a systems biology approach to analyze clinical, demographic and biomarker measurements (n = 29) collected from 157 hematuric patients: 80 urothelial cancer (UC) and 77 controls with confounding pathologies. |
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 % |
|---|---|---|
| United Kingdom | 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Other | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 4 | 9% |
| Other | 8 | 19% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Agricultural and Biological Sciences | 3 | 7% |
| Computer Science | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 10 | 23% |
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 15 July 2020.
All research outputs
#4,577,277
of 22,693,205 outputs
Outputs from BMC Medicine
#2,109
of 3,400 outputs
Outputs of similar age
#50,755
of 284,627 outputs
Outputs of similar age from BMC Medicine
#63
of 77 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,400 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 37th percentile – i.e., 37% 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 284,627 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 77 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.