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The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

Overview of attention for article published in BMC Research Notes, August 2011
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Mentioned by

twitter
2 tweeters

Citations

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31 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
10 CiteULike
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Title
The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions
Published in
BMC Research Notes, August 2011
DOI 10.1186/1756-0500-4-313
Pubmed ID
Authors

Bernard de Bono, Robert Hoehndorf, Sarala Wimalaratne, George Gkoutos, Pierre Grenon

Abstract

The practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Brazil 2 3%
Sweden 1 2%
Germany 1 2%
United Kingdom 1 2%
Spain 1 2%
Portugal 1 2%
Unknown 53 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Master 12 19%
Student > Ph. D. Student 9 14%
Student > Bachelor 9 14%
Student > Postgraduate 3 5%
Other 7 11%
Unknown 5 8%
Readers by discipline Count As %
Computer Science 25 40%
Agricultural and Biological Sciences 10 16%
Engineering 6 10%
Medicine and Dentistry 6 10%
Nursing and Health Professions 3 5%
Other 8 13%
Unknown 5 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 April 2012.
All research outputs
#9,291,893
of 14,735,459 outputs
Outputs from BMC Research Notes
#1,678
of 3,340 outputs
Outputs of similar age
#60,350
of 95,158 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 14,735,459 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,340 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 95,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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