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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Open semantic annotation of scientific publications using DOMEO
|
|---|---|
| Published in |
Journal of Biomedical Semantics, April 2012
|
| DOI | 10.1186/2041-1480-3-s1-s1 |
| Pubmed ID | |
| Authors |
Paolo Ciccarese, Marco Ocana, Tim Clark |
| Abstract |
Our group has developed a useful shared software framework for performing, versioning, sharing and viewing Web annotations of a number of kinds, using an open representation model. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Netherlands | 2 | 20% |
| Italy | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Germany | 3 | 3% |
| France | 1 | 1% |
| Portugal | 1 | 1% |
| United Kingdom | 1 | 1% |
| Kenya | 1 | 1% |
| Mexico | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 78 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 27% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 11 | 12% |
| Professor > Associate Professor | 8 | 9% |
| Other | 16 | 17% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 41% |
| Agricultural and Biological Sciences | 13 | 14% |
| Social Sciences | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Arts and Humanities | 4 | 4% |
| Other | 17 | 18% |
| Unknown | 10 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 March 2016.
All research outputs
#1,745,686
of 24,274,366 outputs
Outputs from Journal of Biomedical Semantics
#13
of 363 outputs
Outputs of similar age
#10,278
of 166,684 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 8 outputs
Altmetric has tracked 24,274,366 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 363 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% 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 166,684 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.