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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance of potentially hazardous strains
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2013
|
| DOI | 10.1186/1471-2334-13-386 |
| Pubmed ID | |
| Authors |
Yuki Iwasaki, Takashi Abe, Yoshiko Wada, Kennosuke Wada, Toshimichi Ikemura |
| Abstract |
With the remarkable increase of microbial and viral sequence data obtained from high-throughput DNA sequencers, novel tools are needed for comprehensive analysis of the big sequence data. We have developed "Batch-Learning Self-Organizing Map (BLSOM)" which can characterize very many, even millions of, genomic sequences on one plane. Influenza virus is one of zoonotic viruses and shows clear host tropism. Important issues for bioinformatics studies of influenza viruses are prediction of genomic sequence changes in the near future and surveillance of potentially hazardous strains. |
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 States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Denmark | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 42 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Bachelor | 8 | 17% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 17% |
| Agricultural and Biological Sciences | 8 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Veterinary Science and Veterinary Medicine | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Other | 8 | 17% |
| Unknown | 11 | 24% |
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 04 March 2014.
All research outputs
#15,283,138
of 22,727,570 outputs
Outputs from BMC Infectious Diseases
#4,441
of 7,660 outputs
Outputs of similar age
#122,664
of 198,828 outputs
Outputs of similar age from BMC Infectious Diseases
#79
of 152 outputs
Altmetric has tracked 22,727,570 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 7,660 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% 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 198,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.