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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fractal MapReduce decomposition of sequence alignment
|
|---|---|
| Published in |
Algorithms for Molecular Biology, May 2012
|
| DOI | 10.1186/1748-7188-7-12 |
| Pubmed ID | |
| Authors |
Jonas S Almeida, Alexander Grüneberg, Wolfgang Maass, Susana Vinga |
| Abstract |
The dramatic fall in the cost of genomic sequencing, and the increasing convenience of distributed cloud computing resources, positions the MapReduce coding pattern as a cornerstone of scalable bioinformatics algorithm development. In some cases an algorithm will find a natural distribution via use of map functions to process vectorized components, followed by a reduce of aggregate intermediate results. However, for some data analysis procedures such as sequence analysis, a more fundamental reformulation may be required. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Sweden | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| France | 1 | 2% |
| Portugal | 1 | 2% |
| United Kingdom | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 40 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Ph. D. Student | 10 | 21% |
| Student > Bachelor | 4 | 9% |
| Other | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Other | 9 | 19% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 36% |
| Computer Science | 17 | 36% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 March 2017.
All research outputs
#6,465,260
of 24,162,141 outputs
Outputs from Algorithms for Molecular Biology
#55
of 254 outputs
Outputs of similar age
#42,955
of 166,660 outputs
Outputs of similar age from Algorithms for Molecular Biology
#3
of 8 outputs
Altmetric has tracked 24,162,141 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 254 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 78% 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 166,660 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 74% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.