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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Statistical Genetic Terminology
|
|---|---|
| Chapter number | 1 |
| Book title |
Statistical Human Genetics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7274-6_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7273-9, 978-1-4939-7274-6
|
| Authors |
Robert C. Elston, Jaya Satagopan, Shuying Sun |
| Abstract |
Common terms used in statistical genetics with multiple meanings are explained and the terminology used in subsequent chapters is defined. Statistical human genetics has existed as a discipline for over a century, and during that time the meanings of many of the terms used have evolved, largely driven by molecular discoveries, to the point that molecular geneticists, statistical geneticists, and statisticians often have difficulty understanding each other. It is therefore imperative, now that so much of molecular genetics is becoming an in silico and statistical science, that we have a well-defined, common terminology. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Unspecified | 1 | 9% |
| Professor | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 45% |
| Agricultural and Biological Sciences | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Unknown | 3 | 27% |
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 11 October 2017.
All research outputs
#15,332,207
of 23,577,654 outputs
Outputs from Methods in molecular biology
#4,903
of 13,410 outputs
Outputs of similar age
#246,422
of 423,887 outputs
Outputs of similar age from Methods in molecular biology
#420
of 1,073 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 58% 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 423,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,073 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.