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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequence embedding for fast construction of guide trees for multiple sequence alignment
|
|---|---|
| Published in |
Algorithms for Molecular Biology, May 2010
|
| DOI | 10.1186/1748-7188-5-21 |
| Pubmed ID | |
| Authors |
Gordon Blackshields, Fabian Sievers, Weifeng Shi, Andreas Wilm, Desmond G Higgins |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 33% |
| Spain | 1 | 17% |
| India | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Canada | 3 | 2% |
| Germany | 2 | 1% |
| Brazil | 1 | <1% |
| Ireland | 1 | <1% |
| Hungary | 1 | <1% |
| New Zealand | 1 | <1% |
| Singapore | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 147 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 20% |
| Student > Master | 30 | 18% |
| Researcher | 29 | 17% |
| Student > Bachelor | 23 | 14% |
| Professor > Associate Professor | 7 | 4% |
| Other | 18 | 11% |
| Unknown | 26 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 32% |
| Biochemistry, Genetics and Molecular Biology | 31 | 19% |
| Computer Science | 30 | 18% |
| Chemistry | 4 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 13 | 8% |
| Unknown | 32 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 April 2024.
All research outputs
#6,382,789
of 25,701,027 outputs
Outputs from Algorithms for Molecular Biology
#48
of 266 outputs
Outputs of similar age
#29,797
of 104,482 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 2 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 266 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 81% 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 104,482 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them