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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cloudgene: A graphical execution platform for MapReduce programs on private and public clouds
|
|---|---|
| Published in |
BMC Bioinformatics, August 2012
|
| DOI | 10.1186/1471-2105-13-200 |
| Pubmed ID | |
| Authors |
Sebastian Schönherr, Lukas Forer, Hansi Weißensteiner, Florian Kronenberg, Günther Specht, Anita Kloss-Brandstätter |
| Abstract |
The MapReduce framework enables a scalable processing and analyzing of large datasets by distributing the computational load on connected computer nodes, referred to as a cluster. In Bioinformatics, MapReduce has already been adopted to various case scenarios such as mapping next generation sequencing data to a reference genome, finding SNPs from short read data or matching strings in genotype files. Nevertheless, tasks like installing and maintaining MapReduce on a cluster system, importing data into its distributed file system or executing MapReduce programs require advanced knowledge in computer science and could thus prevent scientists from usage of currently available and useful software solutions. |
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 % |
|---|---|---|
| France | 1 | 17% |
| Austria | 1 | 17% |
| Germany | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Sweden | 2 | 2% |
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Japan | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 88 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 24% |
| Researcher | 24 | 24% |
| Student > Master | 16 | 16% |
| Other | 9 | 9% |
| Professor > Associate Professor | 8 | 8% |
| Other | 17 | 17% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 33% |
| Agricultural and Biological Sciences | 27 | 27% |
| Engineering | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Medicine and Dentistry | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 8 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 March 2021.
All research outputs
#2,167,739
of 22,673,450 outputs
Outputs from BMC Bioinformatics
#598
of 7,249 outputs
Outputs of similar age
#14,565
of 167,391 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 98 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,249 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 done particularly well, scoring higher than 91% 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 167,391 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 91% of its contemporaries.
We're also able to compare this research output to 98 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 91% of its contemporaries.