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QL4MDR: a GraphQL query language for ISO 11179-based metadata repositories

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

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
11 Mendeley
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Title
QL4MDR: a GraphQL query language for ISO 11179-based metadata repositories
Published in
BMC Medical Informatics and Decision Making, March 2019
DOI 10.1186/s12911-019-0794-z
Pubmed ID
Authors

H. Ulrich, J. Kern, D. Tas, A. K. Kock-Schoppenhauer, F. Ückert, J. Ingenerf, M. Lablans

Twitter Demographics

The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Professor 3 27%
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 6 55%
Medicine and Dentistry 2 18%
Agricultural and Biological Sciences 1 9%
Engineering 1 9%
Unknown 1 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 June 2019.
All research outputs
#4,228,845
of 14,189,461 outputs
Outputs from BMC Medical Informatics and Decision Making
#509
of 1,312 outputs
Outputs of similar age
#119,906
of 307,743 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 19 outputs
Altmetric has tracked 14,189,461 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,312 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 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 307,743 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 60% of its contemporaries.
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 done particularly well, scoring higher than 94% of its contemporaries.