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Mendeley readers
Attention Score in Context
| Title |
Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration
|
|---|---|
| Published in |
BioData Mining, June 2010
|
| DOI | 10.1186/1756-0381-3-3 |
| Pubmed ID | |
| Authors |
Rex T Nelson, Shulamit Avraham, Randy C Shoemaker, Gregory D May, Doreen Ware, Damian DG Gessler |
| Abstract |
Scientific data integration and computational service discovery are challenges for the bioinformatic community. This process is made more difficult by the separate and independent construction of biological databases, which makes the exchange of data between information resources difficult and labor intensive. A recently described semantic web protocol, the Simple Semantic Web Architecture and Protocol (SSWAP; pronounced "swap") offers the ability to describe data and services in a semantically meaningful way. We report how three major information resources (Gramene, SoyBase and the Legume Information System [LIS]) used SSWAP to semantically describe selected data and web services. |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 2 | 3% |
| Australia | 1 | 2% |
| Germany | 1 | 2% |
| Malaysia | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 50 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Bachelor | 6 | 10% |
| Other | 5 | 8% |
| Student > Postgraduate | 5 | 8% |
| Other | 17 | 29% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 25% |
| Agricultural and Biological Sciences | 13 | 22% |
| Medicine and Dentistry | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Arts and Humanities | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 6 | 10% |
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 14 September 2011.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BioData Mining
#161
of 307 outputs
Outputs of similar age
#34,081
of 96,046 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 22,790,780 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 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 45th percentile – i.e., 45% 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 96,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them