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Archetype Development Process: A Case Study of Support Interoperability among Electronic Health Record in the State of Minas Gerais, Brazil

Overview of attention for article published in Journal of Medical Systems, January 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
46 Mendeley
Title
Archetype Development Process: A Case Study of Support Interoperability among Electronic Health Record in the State of Minas Gerais, Brazil
Published in
Journal of Medical Systems, January 2019
DOI 10.1007/s10916-019-1179-7
Pubmed ID
Authors

Thais Abreu Maia, Cristiana Fernandes De Muylder, Zilma Silveira Nogueira Reis

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Master 5 11%
Unspecified 4 9%
Student > Bachelor 4 9%
Researcher 2 4%
Other 5 11%
Unknown 15 33%
Readers by discipline Count As %
Business, Management and Accounting 9 20%
Computer Science 7 15%
Unspecified 4 9%
Nursing and Health Professions 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 5 11%
Unknown 15 33%
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 03 February 2019.
All research outputs
#15,559,348
of 23,125,690 outputs
Outputs from Journal of Medical Systems
#667
of 1,166 outputs
Outputs of similar age
#265,511
of 437,790 outputs
Outputs of similar age from Journal of Medical Systems
#12
of 29 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,166 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 34th percentile – i.e., 34% 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 437,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 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 55% of its contemporaries.