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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prospects for developing an accurate diagnostic biomarker panel for low prevalence cancers
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, August 2014
|
| DOI | 10.1186/1742-4682-11-34 |
| Pubmed ID | |
| Authors |
Matthew A Firpo, Kenneth M Boucher, Sean J Mulvihill |
| Abstract |
Early detection screening of asymptomatic populations for low prevalence cancers requires a highly specific test in order to limit the cost and anxiety produced by falsely positive identifications. Most solid cancers are a heterogeneous collection of diseases as they develop from various combinations of genetic lesions and epigenetic modifications. Therefore, it is unlikely that a single test will discriminate all cases of any particular cancer type. We propose a novel, intuitive biomarker panel design that accommodates disease heterogeneity by allowing for diverse biomarker selection that increases diagnostic accuracy. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Student > Doctoral Student | 2 | 12% |
| Other | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 2 | 12% |
| Other | 5 | 29% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 41% |
| Agricultural and Biological Sciences | 3 | 18% |
| Psychology | 2 | 12% |
| Engineering | 2 | 12% |
| Materials Science | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 August 2014.
All research outputs
#17,010,695
of 25,775,807 outputs
Outputs from Theoretical Biology and Medical Modelling
#168
of 288 outputs
Outputs of similar age
#138,737
of 242,352 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 11 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 288 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 39th percentile – i.e., 39% 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 242,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.