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 |
Chi8: a GPU program for detecting significant interacting SNPs with the Chi-square 8-df test
|
|---|---|
| Published in |
BMC Research Notes, September 2015
|
| DOI | 10.1186/s13104-015-1392-5 |
| Pubmed ID | |
| Authors |
Abdulrhman Al-jouie, Mohammadreza Esfandiari, Srividya Ramakrishnan, Usman Roshan |
| Abstract |
Determining interacting SNPs in genome-wide association studies is computationally expensive yet of considerable interest in genomics. We present a program Chi8 that calculates the Chi-square 8 degree of freedom test between all pairs of SNPs in a brute force manner on a Graphics Processing Unit. We analyze each of the seven WTCCC genome-wide association studies that have about 5000 total case and controls and 400,000 SNPs in an average of 9.6 h on a single GPU. We also study the power, false positives, and area under curve of our program on simulated data and provide a comparison to the GBOOST program. Our program source code is freely available from http://www.cs.njit.edu/usman/Chi8 . |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Professor > Associate Professor | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Professor | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 44% |
| Agricultural and Biological Sciences | 1 | 11% |
| Arts and Humanities | 1 | 11% |
| Sports and Recreations | 1 | 11% |
| Engineering | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 April 2019.
All research outputs
#7,155,908
of 22,829,083 outputs
Outputs from BMC Research Notes
#1,145
of 4,264 outputs
Outputs of similar age
#85,963
of 268,597 outputs
Outputs of similar age from BMC Research Notes
#37
of 171 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,264 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 72% 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 268,597 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.