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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparing reference-based RNA-Seq mapping methods for non-human primate data
|
|---|---|
| Published in |
BMC Genomics, July 2014
|
| DOI | 10.1186/1471-2164-15-570 |
| Pubmed ID | |
| Authors |
Ashlee M Benjamin, Marshall Nichols, Thomas W Burke, Geoffrey S Ginsburg, Joseph E Lucas |
| Abstract |
The application of next-generation sequencing technology to gene expression quantification analysis, namely, RNA-Sequencing, has transformed the way in which gene expression studies are conducted and analyzed. These advances are of particular interest to researchers studying organisms with missing or incomplete genomes, as the need for knowledge of sequence information is overcome. De novo assembly methods have gained widespread acceptance in the RNA-Seq community for organisms with no true reference genome or transcriptome. While such methods have tremendous utility, computational cost is still a significant challenge for organisms with large and complex genomes. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 103 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 23% |
| Researcher | 25 | 23% |
| Student > Master | 18 | 16% |
| Student > Bachelor | 8 | 7% |
| Professor > Associate Professor | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 41% |
| Biochemistry, Genetics and Molecular Biology | 30 | 27% |
| Computer Science | 6 | 5% |
| Immunology and Microbiology | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 17 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 February 2019.
All research outputs
#4,192,244
of 25,374,647 outputs
Outputs from BMC Genomics
#1,517
of 11,244 outputs
Outputs of similar age
#38,766
of 240,377 outputs
Outputs of similar age from BMC Genomics
#36
of 263 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 240,377 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 83% of its contemporaries.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.