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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AMY-tree: an algorithm to use whole genome SNP calling for Y chromosomal phylogenetic applications
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-101 |
| Pubmed ID | |
| Authors |
Anneleen Van Geystelen, Ronny Decorte, Maarten HD Larmuseau |
| Abstract |
Due to the rapid progress of next-generation sequencing (NGS) facilities, an explosion of human whole genome data will become available in the coming years. These data can be used to optimize and to increase the resolution of the phylogenetic Y chromosomal tree. Moreover, the exponential growth of known Y chromosomal lineages will require an automatic determination of the phylogenetic position of an individual based on whole genome SNP calling data and an up to date Y chromosomal tree. |
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 % |
|---|---|---|
| Japan | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 97 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 27% |
| Researcher | 25 | 24% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 12 | 11% |
| Professor > Associate Professor | 7 | 7% |
| Other | 14 | 13% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 48% |
| Biochemistry, Genetics and Molecular Biology | 26 | 25% |
| Computer Science | 6 | 6% |
| Medicine and Dentistry | 6 | 6% |
| Engineering | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 10 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 08 November 2018.
All research outputs
#1,528,997
of 22,696,971 outputs
Outputs from BMC Genomics
#349
of 10,616 outputs
Outputs of similar age
#16,165
of 287,582 outputs
Outputs of similar age from BMC Genomics
#11
of 358 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 287,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.