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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast and robust multiple sequence alignment with phylogeny-aware gap placement
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-129 |
| Pubmed ID | |
| Authors |
Adam M Szalkowski |
| Abstract |
ProGraphMSA is a state-of-the-art multiple sequence alignment tool which produces phylogenetically sensible gap patterns while maintaining robustness by allowing alternative splicings and errors in the branching pattern of the guide tree. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 4% |
| Italy | 1 | 2% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Switzerland | 1 | 2% |
| Czechia | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 46 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 32% |
| Researcher | 12 | 21% |
| Student > Master | 10 | 18% |
| Student > Bachelor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 48% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Computer Science | 8 | 14% |
| Social Sciences | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 December 2020.
All research outputs
#6,379,364
of 22,668,244 outputs
Outputs from BMC Bioinformatics
#2,470
of 7,247 outputs
Outputs of similar age
#45,476
of 167,239 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 111 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 167,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 111 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 66% of its contemporaries.