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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accounting For Alignment Uncertainty in Phylogenomics
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0030288 |
| Pubmed ID | |
| Authors |
Martin Wu, Sourav Chatterji, Jonathan A. Eisen |
| Abstract |
Uncertainty in multiple sequence alignments has a large impact on phylogenetic analyses. Little has been done to evaluate the quality of individual positions in protein sequence alignments, which directly impact the accuracy of phylogenetic trees. Here we describe ZORRO, a probabilistic masking program that accounts for alignment uncertainty by assigning confidence scores to each alignment position. Using the BALIBASE database and in simulation studies, we demonstrate that masking by ZORRO significantly reduces the alignment uncertainty and improves the tree accuracy. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| United Kingdom | 1 | 14% |
| Cameroon | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 5% |
| Sweden | 7 | 3% |
| United Kingdom | 6 | 2% |
| Spain | 5 | 2% |
| Germany | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 2 | <1% |
| Canada | 2 | <1% |
| Netherlands | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 235 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 29% |
| Researcher | 71 | 25% |
| Student > Master | 36 | 13% |
| Student > Bachelor | 17 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 38 | 14% |
| Unknown | 25 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 150 | 54% |
| Biochemistry, Genetics and Molecular Biology | 49 | 18% |
| Computer Science | 12 | 4% |
| Environmental Science | 6 | 2% |
| Business, Management and Accounting | 5 | 2% |
| Other | 22 | 8% |
| Unknown | 36 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 06 July 2023.
All research outputs
#1,822,011
of 24,169,085 outputs
Outputs from PLOS ONE
#22,909
of 207,783 outputs
Outputs of similar age
#13,576
of 252,761 outputs
Outputs of similar age from PLOS ONE
#261
of 3,290 outputs
Altmetric has tracked 24,169,085 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 207,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 88% 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 252,761 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 3,290 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 92% of its contemporaries.