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Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications

Overview of attention for article published in Journal of Biomedical Semantics, July 2014
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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 (#5 of 368)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
3 blogs
twitter
8 X users
googleplus
1 Google+ user

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
113 Mendeley
citeulike
4 CiteULike
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Title
Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications
Published in
Journal of Biomedical Semantics, July 2014
DOI 10.1186/2041-1480-5-28
Pubmed ID
Authors

Tim Clark, Paolo N Ciccarese, Carole A Goble

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Netherlands 2 2%
Egypt 1 <1%
Kenya 1 <1%
Japan 1 <1%
Russia 1 <1%
Unknown 104 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 21%
Student > Ph. D. Student 17 15%
Student > Master 13 12%
Student > Doctoral Student 11 10%
Other 10 9%
Other 25 22%
Unknown 13 12%
Readers by discipline Count As %
Computer Science 47 42%
Agricultural and Biological Sciences 12 11%
Social Sciences 8 7%
Arts and Humanities 6 5%
Medicine and Dentistry 4 4%
Other 20 18%
Unknown 16 14%
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 17 February 2022.
All research outputs
#1,422,555
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#5
of 368 outputs
Outputs of similar age
#13,857
of 242,211 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 14 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 94th 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 98% 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 242,211 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 14 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.