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X Demographics
Mendeley readers
Attention Score in Context
| Title |
S3QL: A distributed domain specific language for controlled semantic integration of life sciences data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2011
|
| DOI | 10.1186/1471-2105-12-285 |
| Pubmed ID | |
| Authors |
Helena F Deus, Miriã C Correa, Romesh Stanislaus, Maria Miragaia, Wolfgang Maass, Hermínia de Lencastre, Ronan Fox, Jonas S Almeida |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| United Kingdom | 1 | 11% |
| Sweden | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 7% |
| Brazil | 4 | 4% |
| United Kingdom | 4 | 4% |
| Germany | 2 | 2% |
| France | 1 | 1% |
| Finland | 1 | 1% |
| Ukraine | 1 | 1% |
| Sweden | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 66 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 28% |
| Student > Ph. D. Student | 16 | 18% |
| Student > Bachelor | 9 | 10% |
| Other | 8 | 9% |
| Student > Master | 7 | 8% |
| Other | 19 | 21% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 34% |
| Agricultural and Biological Sciences | 21 | 23% |
| Medicine and Dentistry | 5 | 6% |
| Engineering | 5 | 6% |
| Social Sciences | 4 | 4% |
| Other | 14 | 16% |
| Unknown | 10 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 25 October 2011.
All research outputs
#2,620,609
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#807
of 7,377 outputs
Outputs of similar age
#13,137
of 118,173 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 89 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 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 done well, scoring higher than 89% 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 118,173 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.