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Mendeley readers
Attention Score in Context
| Title |
Kalign – an accurate and fast multiple sequence alignment algorithm
|
|---|---|
| Published in |
BMC Bioinformatics, December 2005
|
| DOI | 10.1186/1471-2105-6-298 |
| Pubmed ID | |
| Authors |
Timo Lassmann, Erik LL Sonnhammer |
Mendeley readers
The data shown below were compiled from readership statistics for 438 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 1% |
| Sweden | 5 | 1% |
| Spain | 4 | <1% |
| United States | 3 | <1% |
| Germany | 3 | <1% |
| Brazil | 3 | <1% |
| Switzerland | 1 | <1% |
| Australia | 1 | <1% |
| Israel | 1 | <1% |
| Other | 10 | 2% |
| Unknown | 402 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 116 | 26% |
| Researcher | 99 | 23% |
| Student > Bachelor | 39 | 9% |
| Student > Master | 36 | 8% |
| Student > Doctoral Student | 18 | 4% |
| Other | 73 | 17% |
| Unknown | 57 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 180 | 41% |
| Biochemistry, Genetics and Molecular Biology | 76 | 17% |
| Computer Science | 51 | 12% |
| Chemistry | 13 | 3% |
| Immunology and Microbiology | 10 | 2% |
| Other | 35 | 8% |
| Unknown | 73 | 17% |
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 2018.
All research outputs
#4,832,830
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#1,841
of 7,380 outputs
Outputs of similar age
#19,350
of 153,196 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 25 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,380 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 73% 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 153,196 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 81% of its contemporaries.
We're also able to compare this research output to 25 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 64% of its contemporaries.