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Semi-supervised learning of causal relations in biomedical scientific discourse

Overview of attention for article published in BioMedical Engineering OnLine, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Semi-supervised learning of causal relations in biomedical scientific discourse
Published in
BioMedical Engineering OnLine, December 2014
DOI 10.1186/1475-925x-13-s2-s1
Pubmed ID
Authors

Claudiu Mihăilă, Sophia Ananiadou

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 1 3%
Japan 1 3%
Switzerland 1 3%
Unknown 31 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Other 3 8%
Student > Master 3 8%
Professor > Associate Professor 3 8%
Student > Bachelor 3 8%
Other 4 11%
Unknown 11 31%
Readers by discipline Count As %
Computer Science 9 25%
Medicine and Dentistry 5 14%
Engineering 3 8%
Linguistics 2 6%
Agricultural and Biological Sciences 1 3%
Other 5 14%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 December 2014.
All research outputs
#14,257,337
of 25,377,790 outputs
Outputs from BioMedical Engineering OnLine
#343
of 867 outputs
Outputs of similar age
#179,316
of 368,239 outputs
Outputs of similar age from BioMedical Engineering OnLine
#9
of 18 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 60% 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 368,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.