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Mendeley readers
Attention Score in Context
| Title |
Locational distribution of gene functional classes in Arabidopsis thaliana
|
|---|---|
| Published in |
BMC Bioinformatics, March 2007
|
| DOI | 10.1186/1471-2105-8-112 |
| Pubmed ID | |
| Authors |
Michael C Riley, Amanda Clare, Ross D King |
| Abstract |
We are interested in understanding the locational distribution of genes and their functions in genomes, as this distribution has both functional and evolutionary significance. Gene locational distribution is known to be affected by various evolutionary processes, with tandem duplication thought to be the main process producing clustering of homologous sequences. Recent research has found clustering of protein structural families in the human genome, even when genes identified as tandem duplicates have been removed from the data. However, this previous research was hindered as they were unable to analyse small sample sizes. This is a challenge for bioinformatics as more specific functional classes have fewer examples and conventional statistical analyses of these small data sets often produces unsatisfactory results. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Austria | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 42% |
| Student > Ph. D. Student | 4 | 21% |
| Professor > Associate Professor | 2 | 11% |
| Student > Master | 2 | 11% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 53% |
| Computer Science | 3 | 16% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
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 23 September 2022.
All research outputs
#7,689,410
of 23,393,453 outputs
Outputs from BMC Bioinformatics
#3,062
of 7,372 outputs
Outputs of similar age
#27,585
of 77,714 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 37 outputs
Altmetric has tracked 23,393,453 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 7,372 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 77,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.