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Biotea: RDFizing PubMed Central in support for the paper as an interface to the Web of Data

Overview of attention for article published in Journal of Biomedical Semantics, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 315)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
15 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
48 Mendeley
citeulike
4 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Netherlands 2 4%
United States 2 4%
Japan 1 2%
Sweden 1 2%
Austria 1 2%
Brazil 1 2%
Germany 1 2%
Unknown 37 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 25%
Student > Bachelor 8 17%
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Other 5 10%
Other 10 21%
Readers by discipline Count As %
Computer Science 24 50%
Agricultural and Biological Sciences 14 29%
Unspecified 3 6%
Medicine and Dentistry 2 4%
Engineering 2 4%
Other 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 May 2016.
All research outputs
#636,018
of 12,732,596 outputs
Outputs from Journal of Biomedical Semantics
#8
of 315 outputs
Outputs of similar age
#8,303
of 147,263 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 8 outputs
Altmetric has tracked 12,732,596 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 315 research outputs from this source. They receive a mean Attention Score of 4.4. 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 147,263 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 94% 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 all of them