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Mendeley readers
Attention Score in Context
| Title |
SSWAP: A Simple Semantic Web Architecture and Protocol for semantic web services
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-309 |
| Pubmed ID | |
| Authors |
Damian DG Gessler, Gary S Schiltz, Greg D May, Shulamit Avraham, Christopher D Town, David Grant, Rex T Nelson |
| Abstract |
SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations found in both pure web service technologies and pure semantic web technologies. |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| United Kingdom | 3 | 3% |
| Germany | 2 | 2% |
| Netherlands | 2 | 2% |
| Brazil | 2 | 2% |
| Malaysia | 1 | <1% |
| Switzerland | 1 | <1% |
| Australia | 1 | <1% |
| Bulgaria | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 81 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 32% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Master | 13 | 12% |
| Other | 9 | 9% |
| Student > Bachelor | 7 | 7% |
| Other | 19 | 18% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 41% |
| Agricultural and Biological Sciences | 24 | 23% |
| Medicine and Dentistry | 6 | 6% |
| Social Sciences | 5 | 5% |
| Arts and Humanities | 5 | 5% |
| Other | 15 | 14% |
| Unknown | 7 | 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 14 November 2014.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#33,034
of 92,972 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 53 outputs
Altmetric has tracked 22,786,691 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 7,279 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 92,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.