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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A context-based approach to identify the most likely mapping for RNA-seq experiments
|
|---|---|
| Published in |
BMC Bioinformatics, April 2012
|
| DOI | 10.1186/1471-2105-13-s6-s9 |
| Pubmed ID | |
| Authors |
Thomas Bonfert, Gergely Csaba, Ralf Zimmer, Caroline C Friedel |
| Abstract |
Sequencing of mRNA (RNA-seq) by next generation sequencing technologies is widely used for analyzing the transcriptomic state of a cell. Here, one of the main challenges is the mapping of a sequenced read to its transcriptomic origin. As a simple alignment to the genome will fail to identify reads crossing splice junctions and a transcriptome alignment will miss novel splice sites, several approaches have been developed for this purpose. Most of these approaches have two drawbacks. First, each read is assigned to a location independent on whether the corresponding gene is expressed or not, i.e. information from other reads is not taken into account. Second, in case of multiple possible mappings, the mapping with the fewest mismatches is usually chosen which may lead to wrong assignments due to sequencing errors. |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 12% |
| Germany | 2 | 3% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Denmark | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 53 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 41% |
| Student > Ph. D. Student | 14 | 20% |
| Student > Master | 5 | 7% |
| Other | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 62% |
| Computer Science | 15 | 22% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Engineering | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 1 | 1% |
| Unknown | 4 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 04 May 2012.
All research outputs
#2,250,873
of 22,664,644 outputs
Outputs from BMC Bioinformatics
#658
of 7,247 outputs
Outputs of similar age
#14,290
of 161,913 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 97 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 90% 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 161,913 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 91% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.