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A FAIR archive based on the CERIF model

Overview of attention for article published in Procedia Computer Science, January 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
5 tweeters

Readers on

mendeley
6 Mendeley
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Title
A FAIR archive based on the CERIF model
Published in
Procedia Computer Science, January 2019
DOI 10.1016/j.procs.2019.01.076
Authors

Alejandro Engelman, Christer Enkvist, Karl Pettersson

Twitter Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 67%
Librarian 2 33%
Readers by discipline Count As %
Unspecified 2 33%
Computer Science 1 17%
Environmental Science 1 17%
Decision Sciences 1 17%
Social Sciences 1 17%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 February 2019.
All research outputs
#3,450,932
of 13,337,884 outputs
Outputs from Procedia Computer Science
#172
of 1,195 outputs
Outputs of similar age
#97,227
of 286,032 outputs
Outputs of similar age from Procedia Computer Science
#5
of 20 outputs
Altmetric has tracked 13,337,884 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,195 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 85% 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 286,032 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 65% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.