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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reducing selection bias in case-control studies from rare disease registries
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, September 2011
|
| DOI | 10.1186/1750-1172-6-61 |
| Pubmed ID | |
| Authors |
J Alexander Cole, John S Taylor, Thomas N Hangartner, Neal J Weinreb, Pramod K Mistry, Aneal Khan |
| Abstract |
In clinical research of rare diseases, where small patient numbers and disease heterogeneity limit study design options, registries are a valuable resource for demographic and outcome information. However, in contrast to prospective, randomized clinical trials, the observational design of registries is prone to introduce selection bias and negatively impact the validity of data analyses. The objective of the study was to demonstrate the utility of case-control matching and the risk-set method in order to control bias in data from a rare disease registry. Data from the International Collaborative Gaucher Group (ICGG) Gaucher Registry were used as an example. |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 24% |
| Researcher | 12 | 18% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 15% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 22% |
| Nursing and Health Professions | 6 | 9% |
| Mathematics | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 9% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 15 | 22% |
| Unknown | 16 | 24% |
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 07 January 2022.
All research outputs
#13,449,870
of 22,831,537 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,392
of 2,618 outputs
Outputs of similar age
#80,183
of 126,213 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#7
of 7 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,618 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 43rd percentile – i.e., 43% 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 126,213 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.