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USE OF COMPUTATIONAL TOOLS AS SUPPORT TO THE CROSS-MAPPING METHOD BETWEEN CLINICAL TERMINOLOGIES

Overview of attention for article published in Texto & Contexto - Enfermagem, January 2019
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Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
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Title
USE OF COMPUTATIONAL TOOLS AS SUPPORT TO THE CROSS-MAPPING METHOD BETWEEN CLINICAL TERMINOLOGIES
Published in
Texto & Contexto - Enfermagem, January 2019
DOI 10.1590/1980-265x-tce-2017-0187
Authors

Denilsen Carvalho Gomes, Lucas Emanuel Silva e Oliveira, Marcia Regina Cubas, Claudia Maria Cabral Moro Barra

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 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 %
Student > Ph. D. Student 2 13%
Student > Postgraduate 2 13%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Other 1 7%
Other 3 20%
Unknown 3 20%
Readers by discipline Count As %
Nursing and Health Professions 5 33%
Computer Science 3 20%
Social Sciences 1 7%
Medicine and Dentistry 1 7%
Unknown 5 33%

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 14 May 2019.
All research outputs
#11,487,351
of 15,028,834 outputs
Outputs from Texto & Contexto - Enfermagem
#150
of 602 outputs
Outputs of similar age
#181,832
of 265,028 outputs
Outputs of similar age from Texto & Contexto - Enfermagem
#1
of 1 outputs
Altmetric has tracked 15,028,834 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 602 research outputs from this source. They receive a mean Attention Score of 0.7. This one has gotten more attention than average, scoring higher than 68% 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 265,028 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them