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FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example

Overview of attention for article published in Journal of Biomedical Semantics, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
video
1 YouTube creator

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
15 Mendeley
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Title
FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example
Published in
Journal of Biomedical Semantics, November 2021
DOI 10.1186/s13326-021-00254-0
Pubmed ID
Authors

Lars Vogt

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Unknown 8 53%
Readers by discipline Count As %
Computer Science 2 13%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 7%
Economics, Econometrics and Finance 1 7%
Social Sciences 1 7%
Other 0 0%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2023.
All research outputs
#16,270,499
of 25,837,817 outputs
Outputs from Journal of Biomedical Semantics
#217
of 368 outputs
Outputs of similar age
#266,210
of 516,687 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 41st percentile – i.e., 41% 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 516,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.