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Lightweight string reasoning in model finding

Overview of attention for article published in Software and Systems Modeling, April 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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2 Dimensions

Readers on

mendeley
9 Mendeley
Title
Lightweight string reasoning in model finding
Published in
Software and Systems Modeling, April 2013
DOI 10.1007/s10270-013-0332-x
Authors

Fabian Büttner, Jordi Cabot

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Professor 3 33%
Student > Master 2 22%
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Lecturer 1 11%
Other 0 0%
Readers by discipline Count As %
Computer Science 8 89%
Unknown 1 11%
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 05 June 2016.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#444
of 721 outputs
Outputs of similar age
#152,239
of 199,830 outputs
Outputs of similar age from Software and Systems Modeling
#8
of 15 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 3rd percentile – i.e., 3% 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 199,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.