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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BowStrap v1.0: Assigning statistical significance to expressed genes using short-read transcriptome data
|
|---|---|
| Published in |
BMC Research Notes, June 2012
|
| DOI | 10.1186/1756-0500-5-275 |
| Pubmed ID | |
| Authors |
Peter E Larsen, Frank R Collart |
| Abstract |
Background: Deep RNA sequencing, the application of Next Generation sequencing technology to generate a comprehensive profile of the message RNA present in a set of biological samples, provides unprecedented resolution into the molecular foundations of biological processes. By aligning short read RNA sequence data to a set of gene models, expression patterns for all of the genes and gene variants in a biological sample can be calculated. However, accurate determination of gene model expression from deep RNA sequencing is hindered by the presence of ambiguously aligning short read sequences. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Spain | 1 | 17% |
| Montenegro | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 41% |
| Student > Ph. D. Student | 4 | 18% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 64% |
| Unspecified | 1 | 5% |
| Environmental Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 June 2012.
All research outputs
#7,414,160
of 22,668,244 outputs
Outputs from BMC Research Notes
#1,232
of 4,249 outputs
Outputs of similar age
#55,068
of 166,843 outputs
Outputs of similar age from BMC Research Notes
#28
of 86 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,249 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 gotten more attention than average, scoring higher than 65% 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 166,843 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 86 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 59% of its contemporaries.