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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Building a biomedical semantic network in Wikipedia with Semantic Wiki Links
|
|---|---|
| Published in |
Database: The Journal of Biological Databases & Curation, March 2012
|
| DOI | 10.1093/database/bar060 |
| Pubmed ID | |
| Authors |
Benjamin M. Good, Erik L. Clarke, Salvatore Loguercio, Andrew I. Su |
| Abstract |
Wikipedia is increasingly used as a platform for collaborative data curation, but its current technical implementation has significant limitations that hinder its use in biocuration applications. Specifically, while editors can easily link between two articles in Wikipedia to indicate a relationship, there is no way to indicate the nature of that relationship in a way that is computationally accessible to the system or to external developers. For example, in addition to noting a relationship between a gene and a disease, it would be useful to differentiate the cases where genetic mutation or altered expression causes the disease. Here, we introduce a straightforward method that allows Wikipedia editors to embed computable semantic relations directly in the context of current Wikipedia articles. In addition, we demonstrate two novel applications enabled by the presence of these new relationships. The first is a dynamically generated information box that can be rendered on all semantically enhanced Wikipedia articles. The second is a prototype gene annotation system that draws its content from the gene-centric articles on Wikipedia and exposes the new semantic relationships to enable previously impossible, user-defined queries. DATABASE URL: http://en.wikipedia.org/wiki/Portal:Gene_Wiki. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
| Sweden | 2 | 13% |
| Spain | 1 | 7% |
| Germany | 1 | 7% |
| Chad | 1 | 7% |
| United Kingdom | 1 | 7% |
| Hungary | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 5 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 15% |
| Sweden | 2 | 5% |
| Netherlands | 1 | 3% |
| Brazil | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Ireland | 1 | 3% |
| Unknown | 26 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Master | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Professor > Associate Professor | 5 | 13% |
| Other | 5 | 13% |
| Other | 5 | 13% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 36% |
| Computer Science | 7 | 18% |
| Medicine and Dentistry | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 24 December 2021.
All research outputs
#1,559,310
of 25,374,647 outputs
Outputs from Database: The Journal of Biological Databases & Curation
#50
of 1,043 outputs
Outputs of similar age
#8,344
of 171,936 outputs
Outputs of similar age from Database: The Journal of Biological Databases & Curation
#2
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,043 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 95% 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 171,936 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 95% of its contemporaries.
We're also able to compare this research output to 25 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 92% of its contemporaries.