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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring viral quasispecies spectra from 454 pyrosequencing reads
|
|---|---|
| Published in |
BMC Bioinformatics, July 2011
|
| DOI | 10.1186/1471-2105-12-s6-s1 |
| Pubmed ID | |
| Authors |
Irina Astrovskaya, Bassam Tork, Serghei Mangul, Kelly Westbrooks, Ion Măndoiu, Peter Balfe, Alex Zelikovsky |
| Abstract |
RNA viruses infecting a host usually exist as a set of closely related sequences, referred to as quasispecies. The genomic diversity of viral quasispecies is a subject of great interest, particularly for chronic infections, since it can lead to resistance to existing therapies. High-throughput sequencing is a promising approach to characterizing viral diversity, but unfortunately standard assembly software was originally designed for single genome assembly and cannot be used to simultaneously assemble and estimate the abundance of multiple closely related quasispecies sequences. |
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 % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 7 | 4% |
| United States | 4 | 2% |
| France | 2 | 1% |
| Switzerland | 2 | 1% |
| Sweden | 2 | 1% |
| Canada | 2 | 1% |
| Norway | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 137 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 30% |
| Researcher | 35 | 22% |
| Student > Master | 26 | 16% |
| Student > Bachelor | 11 | 7% |
| Professor > Associate Professor | 8 | 5% |
| Other | 24 | 15% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 56% |
| Biochemistry, Genetics and Molecular Biology | 22 | 14% |
| Computer Science | 20 | 12% |
| Medicine and Dentistry | 7 | 4% |
| Engineering | 4 | 2% |
| Other | 10 | 6% |
| Unknown | 9 | 6% |
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 05 September 2023.
All research outputs
#17,193,840
of 25,257,066 outputs
Outputs from BMC Bioinformatics
#5,634
of 7,664 outputs
Outputs of similar age
#90,351
of 124,800 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 85 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% 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 124,800 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.