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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A dictionary based informational genome analysis
|
|---|---|
| Published in |
BMC Genomics, September 2012
|
| DOI | 10.1186/1471-2164-13-485 |
| Pubmed ID | |
| Authors |
Alberto Castellini, Giuditta Franco, Vincenzo Manca |
| Abstract |
In the post-genomic era several methods of computational genomics are emerging to understand how the whole information is structured within genomes. Literature of last five years accounts for several alignment-free methods, arisen as alternative metrics for dissimilarity of biological sequences. Among the others, recent approaches are based on empirical frequencies of DNA k-mers in whole 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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Brazil | 1 | 3% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 34 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 30% |
| Researcher | 12 | 30% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 43% |
| Biochemistry, Genetics and Molecular Biology | 8 | 20% |
| Computer Science | 5 | 13% |
| Economics, Econometrics and Finance | 2 | 5% |
| Immunology and Microbiology | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 3 | 8% |
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 06 February 2013.
All research outputs
#13,020,322
of 22,679,690 outputs
Outputs from BMC Genomics
#4,700
of 10,615 outputs
Outputs of similar age
#90,483
of 170,681 outputs
Outputs of similar age from BMC Genomics
#50
of 116 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 170,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 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 56% of its contemporaries.