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X Demographics
Mendeley readers
Attention Score in Context
| Title |
StatsX v2.0: the interactive graphical software for population statistics on X-STR
|
|---|---|
| Published in |
International Journal of Legal Medicine, March 2018
|
| DOI | 10.1007/s00414-018-1824-6 |
| Pubmed ID | |
| Authors |
Yubo Lang, Fei Guo, Qingshan Niu |
| Abstract |
StatsX (Statistics for X-STR) v2.0 is developed to facilitate the workflow for analysis of population data on X-chromosomal short tandem repeat (X-STR) marker. The interactive graphical and installable software can estimate allele/haplotype frequencies from female, male, and pooled samples and calculate forensic parameters by importing a single file. In addition, it is able to filter out the invalid raw data and export a series of pre-formatted Arlequin input files that are directly used for testing the significance of the Hardy-Weinberg equilibrium (HWE), linkage disequilibrium (LD), and gender differentiation. As expected, all results of frequencies and forensic parameters can be saved as EXCEL workbooks and also plotted as bar or line graphs. Further, full concordance was obtained by recalculating frequencies and forensic parameters with other established software from a published Han Chinese population. |
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 % |
|---|---|---|
| Unknown | 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Lecturer | 3 | 12% |
| Student > Postgraduate | 3 | 12% |
| Professor | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 28% |
| Arts and Humanities | 1 | 4% |
| Unspecified | 1 | 4% |
| Linguistics | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |
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 21 March 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from International Journal of Legal Medicine
#974
of 2,088 outputs
Outputs of similar age
#212,232
of 332,402 outputs
Outputs of similar age from International Journal of Legal Medicine
#22
of 55 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,088 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 38th percentile – i.e., 38% 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 332,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.