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Attention Score in Context
| Title |
Significance testing in ridge regression for genetic data
|
|---|---|
| Published in |
BMC Bioinformatics, September 2011
|
| DOI | 10.1186/1471-2105-12-372 |
| Pubmed ID | |
| Authors |
Erika Cule, Paolo Vineis, Maria De Iorio |
| Abstract |
Technological developments have increased the feasibility of large scale genetic association studies. Densely typed genetic markers are obtained using SNP arrays, next-generation sequencing technologies and imputation. However, SNPs typed using these methods can be highly correlated due to linkage disequilibrium among them, and standard multiple regression techniques fail with these data sets due to their high dimensionality and correlation structure. There has been increasing interest in using penalised regression in the analysis of high dimensional data. Ridge regression is one such penalised regression technique which does not perform variable selection, instead estimating a regression coefficient for each predictor variable. It is therefore desirable to obtain an estimate of the significance of each ridge regression coefficient. |
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 % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 3 | 2% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Turkey | 1 | <1% |
| Belgium | 1 | <1% |
| Indonesia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 182 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 27% |
| Researcher | 38 | 19% |
| Student > Master | 18 | 9% |
| Student > Bachelor | 14 | 7% |
| Student > Doctoral Student | 11 | 6% |
| Other | 33 | 17% |
| Unknown | 30 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 30% |
| Biochemistry, Genetics and Molecular Biology | 21 | 11% |
| Mathematics | 21 | 11% |
| Engineering | 13 | 7% |
| Computer Science | 7 | 4% |
| Other | 37 | 19% |
| Unknown | 39 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 June 2020.
All research outputs
#1,575,179
of 22,709,015 outputs
Outputs from BMC Bioinformatics
#328
of 7,256 outputs
Outputs of similar age
#7,660
of 130,531 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 88 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 95% 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 130,531 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.