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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Seahawk: moving beyond HTML in Web-based bioinformatics analysis
|
|---|---|
| Published in |
BMC Bioinformatics, June 2007
|
| DOI | 10.1186/1471-2105-8-208 |
| Pubmed ID | |
| Authors |
Paul MK Gordon, Christoph W Sensen |
| Abstract |
Traditional HTML interfaces for input to and output from Bioinformatics analysis on the Web are highly variable in style, content and data formats. Combining multiple analyses can therefore be an onerous task for biologists. Semantic Web Services allow automated discovery of conceptual links between remote data analysis servers. A shared data ontology and service discovery/execution framework is particularly attractive in Bioinformatics, where data and services are often both disparate and distributed. Instead of biologists copying, pasting and reformatting data between various Web sites, Semantic Web Service protocols such as MOBY-S hold out the promise of seamlessly integrating multi-step analysis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Canada | 3 | 5% |
| United Kingdom | 3 | 5% |
| Sweden | 2 | 3% |
| Netherlands | 2 | 3% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| Iceland | 1 | 2% |
| Germany | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 42 | 70% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 42% |
| Student > Ph. D. Student | 8 | 13% |
| Professor | 7 | 12% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 7 | 12% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 43% |
| Computer Science | 13 | 22% |
| Medicine and Dentistry | 6 | 10% |
| Engineering | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 January 2024.
All research outputs
#7,842,295
of 25,119,447 outputs
Outputs from BMC Bioinformatics
#2,858
of 7,654 outputs
Outputs of similar age
#26,382
of 76,981 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 43 outputs
Altmetric has tracked 25,119,447 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,654 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 60% 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 76,981 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.