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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
JVM: Java Visual Mapping Tool for Next Generation Sequencing Read.
|
|---|---|
| Chapter number | 2 |
| Book title |
Advance in Structural Bioinformatics
|
| Published in |
Advances in experimental medicine and biology, January 2015
|
| DOI | 10.1007/978-94-017-9245-5_2 |
| Pubmed ID | |
| Book ISBNs |
978-9-40-179244-8, 978-9-40-179245-5
|
| Authors |
Ye Yang, Juan Liu, Yang, Ye, Liu, Juan |
| Abstract |
We developed a program JVM (Java Visual Mapping) for mapping next generation sequencing read to reference sequence. The program is implemented in Java and is designed to deal with millions of short read generated by sequence alignment using the Illumina sequencing technology. It employs seed index strategy and octal encoding operations for sequence alignments. JVM is useful for DNA-Seq, RNA-Seq when dealing with single-end resequencing. JVM is a desktop application, which supports reads capacity from 1 MB to 10 GB. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Student > Master | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Professor | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 63% |
| Agricultural and Biological Sciences | 2 | 25% |
| Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 November 2014.
All research outputs
#13,923,205
of 22,770,070 outputs
Outputs from Advances in experimental medicine and biology
#2,000
of 4,929 outputs
Outputs of similar age
#181,141
of 352,903 outputs
Outputs of similar age from Advances in experimental medicine and biology
#83
of 271 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,929 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 57% 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 352,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 271 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 67% of its contemporaries.