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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scenario driven data modelling: a method for integrating diverse sources of data and data streams
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-s10-s17 |
| Pubmed ID | |
| Authors |
Shelton D Griffith, Daniel J Quest, Thomas S Brettin, Robert W Cottingham |
| Abstract |
Biology is rapidly becoming a data intensive, data-driven science. It is essential that data is represented and connected in ways that best represent its full conceptual content and allows both automated integration and data driven decision-making. Recent advancements in distributed multi-relational directed graphs, implemented in the form of the Semantic Web make it possible to deal with complicated heterogeneous data in new and interesting ways. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 50% |
| Spain | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 46 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 24% |
| Student > Master | 11 | 22% |
| Student > Ph. D. Student | 10 | 20% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 39% |
| Agricultural and Biological Sciences | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 6 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 May 2013.
All research outputs
#6,064,219
of 22,668,244 outputs
Outputs from BMC Bioinformatics
#2,292
of 7,247 outputs
Outputs of similar age
#36,916
of 139,142 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 101 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,247 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 68% 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 139,142 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 73% of its contemporaries.
We're also able to compare this research output to 101 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 64% of its contemporaries.