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Mendeley readers
Attention Score in Context
| Title |
Supervised segmentation of phenotype descriptions for the human skeletal phenome using hybrid methods
|
|---|---|
| Published in |
BMC Bioinformatics, October 2012
|
| DOI | 10.1186/1471-2105-13-265 |
| Pubmed ID | |
| Authors |
Tudor Groza, Jane Hunter, Andreas Zankl |
| Abstract |
Over the course of the last few years there has been a significant amount of research performed on ontology-based formalization of phenotype descriptions. In order to fully capture the intrinsic value and knowledge expressed within them, we need to take advantage of their inner structure, which implicitly combines qualities and anatomical entities. The first step in this process is the segmentation of the phenotype descriptions into their atomic elements. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 24% |
| Sweden | 1 | 6% |
| Unknown | 12 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 35% |
| Researcher | 4 | 24% |
| Professor | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 29% |
| Medicine and Dentistry | 4 | 24% |
| Computer Science | 3 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 12% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 12% |
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 17 October 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from BMC Bioinformatics
#6,287
of 7,252 outputs
Outputs of similar age
#131,769
of 174,091 outputs
Outputs of similar age from BMC Bioinformatics
#87
of 110 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 174,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.