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Mendeley readers
Attention Score in Context
| Title |
GraphDNA: a Java program for graphical display of DNA composition analyses
|
|---|---|
| Published in |
BMC Bioinformatics, January 2007
|
| DOI | 10.1186/1471-2105-8-21 |
| Pubmed ID | |
| Authors |
Jamie M Thomas, Daniel Horspool, Gordon Brown, Vasily Tcherepanov, Chris Upton |
| Abstract |
Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have been extensively analyzed in prokaryotic and eukaryotic genomes and related to chromosome organization, transcription orientation and other processes in certain organisms. To carry out analysis of intra-strand nucleotide distribution several graphical methods have been developed. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| Mexico | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 39 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 38% |
| Student > Ph. D. Student | 8 | 18% |
| Student > Master | 6 | 13% |
| Professor | 5 | 11% |
| Other | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 56% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Medicine and Dentistry | 4 | 9% |
| Computer Science | 3 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 3 | 7% |
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 29 August 2020.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,277 outputs
Outputs of similar age
#43,873
of 161,182 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 52 outputs
Altmetric has tracked 22,782,096 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 7,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 161,182 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 52 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.