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An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
76 Mendeley
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Title
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
Published in
BMC Medical Informatics and Decision Making, July 2018
DOI 10.1186/s12911-018-0636-4
Pubmed ID
Authors

Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave, Jiang Bian

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Student > Master 13 17%
Researcher 8 11%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 10 13%
Unknown 20 26%
Readers by discipline Count As %
Computer Science 28 37%
Medicine and Dentistry 7 9%
Engineering 3 4%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 10 13%
Unknown 23 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 December 2020.
All research outputs
#3,557,621
of 19,846,165 outputs
Outputs from BMC Medical Informatics and Decision Making
#341
of 1,755 outputs
Outputs of similar age
#72,570
of 289,880 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 2 outputs
Altmetric has tracked 19,846,165 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,755 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 79% 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 289,880 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 73% of its contemporaries.
We're also able to compare this research output to 2 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