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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BM-Map: an efficient software package for accurately allocating multireads of RNA-sequencing data
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-s8-s9 |
| Pubmed ID | |
| Authors |
Yuan, Clift Norris, Yanxun Xu, Kam-Wah Tsui, Yuan Ji, Han Liang |
| Abstract |
RNA sequencing (RNA-seq) has become a major tool for biomedical research. A key step in analyzing RNA-seq data is to infer the origin of short reads in the source genome, and for this purpose, many read alignment/mapping software programs have been developed. Usually, the majority of mappable reads can be mapped to one unambiguous genomic location, and these reads are called unique reads. However, a considerable proportion of mappable reads can be aligned to more than one genomic location with the same or similar fidelities, and they are called "multireads". Allocating these multireads is challenging but critical for interpreting RNA-seq data. We recently developed a Bayesian stochastic model that allocates multireads more accurately than alternative methods (Ji et al. Biometrics 2011). |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Finland | 1 | 3% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Slovenia | 1 | 3% |
| Unknown | 26 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 31% |
| Student > Ph. D. Student | 7 | 22% |
| Professor > Associate Professor | 6 | 19% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 56% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Computer Science | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 January 2013.
All research outputs
#16,099,609
of 23,891,012 outputs
Outputs from BMC Genomics
#6,842
of 10,793 outputs
Outputs of similar age
#174,301
of 266,294 outputs
Outputs of similar age from BMC Genomics
#249
of 379 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 266,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 379 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.