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 |
HPG pore: an efficient and scalable framework for nanopore sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, February 2016
|
| DOI | 10.1186/s12859-016-0966-0 |
| Pubmed ID | |
| Authors |
Joaquin Tarraga, Asunción Gallego, Vicente Arnau, Ignacio Medina, Joaquin Dopazo |
| Abstract |
The use of nanopore technologies is expected to spread in the future because they are portable and can sequence long fragments of DNA molecules without prior amplification. The first nanopore sequencer available, the MinION™ from Oxford Nanopore Technologies, is a USB-connected, portable device that allows real-time DNA analysis. In addition, other new instruments are expected to be released soon, which promise to outperform the current short-read technologies in terms of throughput. Despite the flood of data expected from this technology, the data analysis solutions currently available are only designed to manage small projects and are not scalable. Here we present HPG Pore, a toolkit for exploring and analysing nanopore sequencing data. HPG Pore can run on both individual computers and in the Hadoop distributed computing framework, which allows easy scale-up to manage the large amounts of data expected to result from extensive use of nanopore technologies in the future. HPG Pore allows for virtually unlimited sequencing data scalability, thus guaranteeing its continued management in near future scenarios. HPG Pore is available in GitHub at http://github.com/opencb/hpg-pore . |
X Demographics
The data shown below were collected from the profiles of 27 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 | 6 | 22% |
| United States | 2 | 7% |
| Spain | 2 | 7% |
| Switzerland | 1 | 4% |
| Greece | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Norway | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 12 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 52% |
| Members of the public | 12 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| Czechia | 2 | 2% |
| Germany | 1 | 1% |
| Italy | 1 | 1% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Estonia | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 76 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 33% |
| Student > Master | 17 | 19% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 8 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Other | 12 | 13% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 40% |
| Biochemistry, Genetics and Molecular Biology | 22 | 25% |
| Computer Science | 12 | 13% |
| Medicine and Dentistry | 3 | 3% |
| Chemistry | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 9 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 31 March 2016.
All research outputs
#1,263,466
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#165
of 7,418 outputs
Outputs of similar age
#22,062
of 299,174 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 132 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 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 97% 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 299,174 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 92% of its contemporaries.
We're also able to compare this research output to 132 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 94% of its contemporaries.