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Attention Score in Context
| Title |
GPOPSIM: a simulation tool for whole-genome genetic data
|
|---|---|
| Published in |
BMC Genomic Data, February 2015
|
| DOI | 10.1186/s12863-015-0173-4 |
| Pubmed ID | |
| Authors |
Zhe Zhang, Xiujin Li, Xiangdong Ding, Jiaqi Li, Qin Zhang |
| Abstract |
BackgroundPopulation-wide genotypic and phenotypic data is frequently used to predict the disease risk or genetic / phenotypic values, or to localize genetic variations responsible for complex traits. GPOPSIM is a simulation tool for pedigree, phenotypes, and genomic data, with a variety of population and genome structures and trait genetic architectures. It provides flexible parameter settings for a wide discipline of users, especially can simulate multiple genetically correlated traits with desired genetic parameters and underlying genetic architectures.ResultsThe model implemented in GPOPSIM is presented, and the code has been made freely available to the community. Data simulated by GPOPSIM is a good mimic to the real data in terms of genome structure and trait underlying genetic architecture.ConclusionsGPOPSIM would be a useful tool for the methodological and theoretical studies in the population and quantitative genetics and breeding. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Finland | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 43 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Researcher | 12 | 25% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 54% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Computer Science | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 September 2017.
All research outputs
#7,205,295
of 25,374,647 outputs
Outputs from BMC Genomic Data
#242
of 1,204 outputs
Outputs of similar age
#91,151
of 360,649 outputs
Outputs of similar age from BMC Genomic Data
#5
of 27 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 360,649 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 74% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.