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Strand: scalable trilateration with Node.js

Overview of attention for article published in Journal of Cloud Computing, November 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 151)
  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Strand: scalable trilateration with Node.js
Published in
Journal of Cloud Computing, November 2019
DOI 10.1186/s13677-019-0142-y
Authors

Konstantinos Tserpes, Maria Pateraki, Iraklis Varlamis

Twitter Demographics

The data shown below were collected from the profiles of 2 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Librarian 1 10%
Student > Master 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 7 70%
Arts and Humanities 1 10%
Unknown 2 20%

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 20 November 2019.
All research outputs
#8,832,451
of 15,062,424 outputs
Outputs from Journal of Cloud Computing
#50
of 151 outputs
Outputs of similar age
#167,876
of 320,377 outputs
Outputs of similar age from Journal of Cloud Computing
#3
of 23 outputs
Altmetric has tracked 15,062,424 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 151 research outputs from this source. They receive a mean Attention Score of 2.0. 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 320,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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 69% of its contemporaries.