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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biotea: RDFizing PubMed Central in support for the paper as an interface to the Web of Data
|
|---|---|
| Published in |
Journal of Biomedical Semantics, April 2013
|
| DOI | 10.1186/2041-1480-4-s1-s5 |
| Pubmed ID | |
| Authors |
L Jael Garcia Castro, C McLaughlin, A Garcia |
| Abstract |
The World Wide Web has become a dissemination platform for scientific and non-scientific publications. However, most of the information remains locked up in discrete documents that are not always interconnected or machine-readable. The connectivity tissue provided by RDF technology has not yet been widely used to support the generation of self-describing, machine-readable documents. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| United Kingdom | 2 | 17% |
| Netherlands | 1 | 8% |
| Ireland | 1 | 8% |
| Brazil | 1 | 8% |
| India | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
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 % |
|---|---|---|
| Netherlands | 2 | 4% |
| Canada | 2 | 4% |
| United States | 2 | 4% |
| Germany | 1 | 2% |
| Sweden | 1 | 2% |
| Austria | 1 | 2% |
| Japan | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 40 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Student > Bachelor | 8 | 16% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 6 | 12% |
| Other | 6 | 12% |
| Other | 9 | 18% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 47% |
| Agricultural and Biological Sciences | 14 | 27% |
| Medicine and Dentistry | 2 | 4% |
| Engineering | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 15 January 2015.
All research outputs
#1,786,522
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#10
of 368 outputs
Outputs of similar age
#14,287
of 209,603 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 7 outputs
Altmetric has tracked 25,373,627 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 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 209,603 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them