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PAV ontology: provenance, authoring and versioning

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

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 373)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
3 blogs
twitter
6 X users
wikipedia
4 Wikipedia pages
googleplus
2 Google+ users

Readers on

mendeley
102 Mendeley
citeulike
3 CiteULike
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Article details
Title
PAV ontology: provenance, authoring and versioning
Published in
Journal of Biomedical Semantics, November 2013
DOI 10.1186/2041-1480-4-37
Pubmed ID
Authors
Abstract

Provenance is a critical ingredient for establishing trust of published scientific content. This is true whether we are considering a data set, a computational workflow, a peer-reviewed publication or a simple scientific claim with supportive evidence. Existing vocabularies such as Dublin Core Terms (DC Terms) and the W3C Provenance Ontology (PROV-O) are domain-independent and general-purpose and they allow and encourage for extensions to cover more specific needs. In particular, to track authoring and versioning information of web resources, PROV-O provides a basic methodology but not any specific classes and properties for identifying or distinguishing between the various roles assumed by agents manipulating digital artifacts, such as author, contributor and curator.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 2 2%
United Kingdom 2 2%
Spain 2 2%
United States 1 <1%
Poland 1 <1%
Mexico 1 <1%
Japan 1 <1%
France 1 <1%
Germany 1 <1%
Other 2 2%
Unknown 88 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 23 23%
Student > Master 16 16%
Student > Ph. D. Student 15 15%
Student > Bachelor 8 8%
Professor > Associate Professor 6 6%
Other 18 18%
Unknown 16 16%
Readers by discipline
Readers by discipline Count As %
Computer Science 47 46%
Agricultural and Biological Sciences 15 15%
Social Sciences 4 4%
Engineering 4 4%
Business, Management and Accounting 2 2%
Other 9 9%
Unknown 21 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 27 May 2026.
All research outputs
#1,629,575
of 28,701,752 outputs
Outputs from Journal of Biomedical Semantics
#2
of 373 outputs
Outputs of similar age
#16,096
of 328,260 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 20 outputs
Altmetric has tracked 28,701,752 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 373 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 328,260 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 20 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 95% of its contemporaries.