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Identifying disease trajectories with predicate information from a knowledge graph

Overview of attention for article published in Journal of Biomedical Semantics, August 2020
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Identifying disease trajectories with predicate information from a knowledge graph
Published in
Journal of Biomedical Semantics, August 2020
DOI 10.1186/s13326-020-00228-8
Pubmed ID
Authors

Wytze J. Vlietstra, Rein Vos, Marjan van den Akker, Erik M. van Mulligen, Jan A. Kors

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Student > Bachelor 2 10%
Researcher 2 10%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Computer Science 4 20%
Engineering 2 10%
Agricultural and Biological Sciences 2 10%
Medicine and Dentistry 2 10%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 8 40%
Attention Score in Context

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 21 August 2020.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from Journal of Biomedical Semantics
#301
of 366 outputs
Outputs of similar age
#301,126
of 400,184 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 4 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 366 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% 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 400,184 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.