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QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
57 Mendeley
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Title
QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research
Published in
BMC Medical Informatics and Decision Making, April 2019
DOI 10.1186/s12911-019-0798-8
Pubmed ID
Authors

Tong Ruan, Yueqi Huang, Xuli Liu, Yuhang Xia, Ju Gao

Twitter Demographics

The data shown below were collected from the profiles of 3 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Researcher 8 14%
Student > Master 8 14%
Student > Doctoral Student 5 9%
Student > Bachelor 5 9%
Other 7 12%
Unknown 15 26%
Readers by discipline Count As %
Computer Science 19 33%
Engineering 3 5%
Medicine and Dentistry 3 5%
Agricultural and Biological Sciences 3 5%
Nursing and Health Professions 2 4%
Other 7 12%
Unknown 20 35%

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 03 April 2019.
All research outputs
#11,065,713
of 14,558,947 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,028
of 1,335 outputs
Outputs of similar age
#182,023
of 265,352 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 19 outputs
Altmetric has tracked 14,558,947 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,335 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 19th percentile – i.e., 19% 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 265,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 73% of its contemporaries.