You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Handling the data management needs of high-throughput sequencing data: SpeedGene, a compression algorithm for the efficient storage of genetic data
|
---|---|
Published in |
BMC Bioinformatics, May 2012
|
DOI | 10.1186/1471-2105-13-100 |
Pubmed ID | |
Authors |
Dandi Qiao, Wai-Ki Yip, Christoph Lange |
Abstract |
As Next-Generation Sequencing data becomes available, existing hardware environments do not provide sufficient storage space and computational power to store and process the data due to their enormous size. This is and will be a frequent problem that is encountered everyday by researchers who are working on genetic data. There are some options available for compressing and storing such data, such as general-purpose compression software, PBAT/PLINK binary format, etc. However, these currently available methods either do not offer sufficient compression rates, or require a great amount of CPU time for decompression and loading every time the data is accessed. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
Switzerland | 1 | 20% |
Germany | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 5% |
Netherlands | 2 | 4% |
Germany | 2 | 4% |
Sweden | 1 | 2% |
Australia | 1 | 2% |
Unknown | 48 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 35% |
Student > Ph. D. Student | 15 | 26% |
Student > Bachelor | 5 | 9% |
Other | 4 | 7% |
Professor > Associate Professor | 3 | 5% |
Other | 9 | 16% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 56% |
Computer Science | 13 | 23% |
Social Sciences | 2 | 4% |
Engineering | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 4 | 7% |
Unknown | 2 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 May 2012.
All research outputs
#12,854,097
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#3,777
of 7,247 outputs
Outputs of similar age
#87,697
of 163,779 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 104 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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 is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 163,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 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 50% of its contemporaries.