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Mendeley readers
Attention Score in Context
| Title |
Cost effective assay choice for rare disease study designs
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, February 2015
|
| DOI | 10.1186/s13023-015-0226-9 |
| Pubmed ID | |
| Authors |
Desmond D Campbell, Robert M Porsch, Stacey S Cherny, Valeria Capra, Elisa Merello, Patrizia De Marco, Pak C Sham, Maria-Mercè Garcia-Barceló |
| Abstract |
High throughput assays tend to be expensive per subject. Often studies are limited not so much by the number of subjects available as by assay costs, making assay choice a critical issue. We have developed a framework for assay choice that maximises the number of true disease causing mechanisms `seen¿, given limited resources. Although straightforward, some of the ramifications of our methodology run counter to received wisdom on study design. We illustrate our methodology with examples, and have built a website allowing calculation of quantities of interest to those designing rare disease studies. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 26% |
| Researcher | 4 | 17% |
| Professor > Associate Professor | 3 | 13% |
| Professor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 5 | 22% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Medicine and Dentistry | 6 | 26% |
| Nursing and Health Professions | 2 | 9% |
| Agricultural and Biological Sciences | 2 | 9% |
| Mathematics | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 August 2015.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Orphanet Journal of Rare Diseases
#2,289
of 3,105 outputs
Outputs of similar age
#254,031
of 360,581 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#27
of 37 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,105 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 21st percentile – i.e., 21% 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 360,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.