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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ultra-large alignments using phylogeny-aware profiles
|
|---|---|
| Published in |
Genome Biology, June 2015
|
| DOI | 10.1186/s13059-015-0688-z |
| Pubmed ID | |
| Authors |
Nam-phuong D. Nguyen, Siavash Mirarab, Keerthana Kumar, Tandy Warnow |
| Abstract |
Many biological questions, including the estimation of deep evolutionary histories and the detection of remote homology between protein sequences, rely upon multiple sequence alignments and phylogenetic trees of large datasets. However, accurate large-scale multiple sequence alignment is very difficult, especially when the dataset contains fragmentary sequences. We present UPP, a multiple sequence alignment method that uses a new machine learning technique - the Ensemble of Hidden Markov Models - that we propose here. UPP produces highly accurate alignments for both nucleotide and amino acid sequences, even on ultra-large datasets or datasets containing fragmentary sequences. UPP is available at https://github.com/smirarab/sepp . |
X Demographics
The data shown below were collected from the profiles of 28 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 | 7 | 25% |
| France | 2 | 7% |
| United Kingdom | 2 | 7% |
| Uruguay | 1 | 4% |
| Canada | 1 | 4% |
| China | 1 | 4% |
| Germany | 1 | 4% |
| Netherlands | 1 | 4% |
| Norway | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 50% |
| Scientists | 13 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| Brazil | 2 | 2% |
| Netherlands | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 117 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 24% |
| Researcher | 27 | 21% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 9 | 7% |
| Professor | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 23 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 40% |
| Biochemistry, Genetics and Molecular Biology | 23 | 18% |
| Computer Science | 15 | 12% |
| Immunology and Microbiology | 2 | 2% |
| Chemistry | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 28 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 29 December 2021.
All research outputs
#2,190,622
of 25,371,288 outputs
Outputs from Genome Biology
#1,822
of 4,467 outputs
Outputs of similar age
#25,880
of 264,128 outputs
Outputs of similar age from Genome Biology
#29
of 62 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 59% 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 264,128 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 90% of its contemporaries.
We're also able to compare this research output to 62 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 53% of its contemporaries.