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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-162 |
| Pubmed ID | |
| Authors |
Tae-Ho Lee, Hui Guo, Xiyin Wang, Changsoo Kim, Andrew H Paterson |
| Abstract |
Phylogenetic trees are widely used for genetic and evolutionary studies in various organisms. Advanced sequencing technology has dramatically enriched data available for constructing phylogenetic trees based on single nucleotide polymorphisms (SNPs). However, massive SNP data makes it difficult to perform reliable analysis, and there has been no ready-to-use pipeline to generate phylogenetic trees from these data. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 2 | 14% |
| France | 2 | 14% |
| Greece | 1 | 7% |
| Netherlands | 1 | 7% |
| United Kingdom | 1 | 7% |
| Canada | 1 | 7% |
| China | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 79% |
| Members of the public | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 515 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 1% |
| Spain | 4 | <1% |
| Switzerland | 2 | <1% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| Denmark | 2 | <1% |
| Belgium | 2 | <1% |
| Sweden | 1 | <1% |
| Israel | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 485 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 136 | 26% |
| Researcher | 128 | 25% |
| Student > Master | 72 | 14% |
| Student > Bachelor | 36 | 7% |
| Student > Doctoral Student | 20 | 4% |
| Other | 41 | 8% |
| Unknown | 82 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 246 | 48% |
| Biochemistry, Genetics and Molecular Biology | 114 | 22% |
| Computer Science | 14 | 3% |
| Environmental Science | 10 | 2% |
| Medicine and Dentistry | 6 | 1% |
| Other | 25 | 5% |
| Unknown | 100 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 07 November 2022.
All research outputs
#2,435,580
of 24,666,614 outputs
Outputs from BMC Genomics
#672
of 11,035 outputs
Outputs of similar age
#24,068
of 226,547 outputs
Outputs of similar age from BMC Genomics
#5
of 157 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,035 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 226,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 157 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 97% of its contemporaries.