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Mendeley readers
Attention Score in Context
| Title |
PileLine: a toolbox to handle genome position information in next-generation sequencing studies
|
|---|---|
| Published in |
BMC Bioinformatics, January 2011
|
| DOI | 10.1186/1471-2105-12-31 |
| Pubmed ID | |
| Authors |
Daniel Glez-Peña, Gonzalo Gómez-López, Miguel Reboiro-Jato, Florentino Fdez-Riverola, David G Pisano |
| Abstract |
Genomic position (GP) files currently used in next-generation sequencing (NGS) studies are always difficult to manipulate due to their huge size and the lack of appropriate tools to properly manage them. The structure of these flat files is based on representing one line per position that has been covered by at least one aligned read, imposing significant restrictions from a computational performance perspective. |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 3% |
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Japan | 2 | 2% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| Belgium | 1 | 1% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 71 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 47% |
| Student > Ph. D. Student | 10 | 12% |
| Other | 9 | 10% |
| Professor > Associate Professor | 7 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 64% |
| Computer Science | 8 | 9% |
| Medicine and Dentistry | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Engineering | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 5 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 November 2023.
All research outputs
#5,202,532
of 24,795,084 outputs
Outputs from BMC Bioinformatics
#1,863
of 7,589 outputs
Outputs of similar age
#33,835
of 193,882 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 53 outputs
Altmetric has tracked 24,795,084 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,589 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 75% 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 193,882 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 82% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.