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 |
Evaluating the Y chromosomal STR dating in deep-rooting pedigrees
|
|---|---|
| Published in |
Investigative Genetics, May 2015
|
| DOI | 10.1186/s13323-015-0025-z |
| Pubmed ID | |
| Authors |
Chuan-Chao Wang, Hui Li |
| Abstract |
Y chromosomal short tandem repeat (STR) has been used in time estimations for single nucleotide polymorphism (SNP) lineages or eminent persons. But to choose which mutation rate and estimation method in the Y chromosome dating is controversial, since different rates and methods can result in several-fold deviation. We used two deep-rooting pedigrees with full records and reliable dates to directly evaluate the Y chromosomal STR mutation rates and dating methods. We found that the Y chromosomal genealogical mutation rates (OMRB and lmMR) in BATWING method can give the best-fit estimation for historical lineage dating. This study validated a very efficient and reliable way for genealogy and historical anthropology researches. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 17% |
| Other | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Professor | 4 | 13% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 6 | 20% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 47% |
| Agricultural and Biological Sciences | 8 | 27% |
| Physics and Astronomy | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 17% |
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 28 May 2015.
All research outputs
#18,411,569
of 22,807,037 outputs
Outputs from Investigative Genetics
#87
of 97 outputs
Outputs of similar age
#192,580
of 266,679 outputs
Outputs of similar age from Investigative Genetics
#3
of 3 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one is in the 3rd percentile – i.e., 3% 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 266,679 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.