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Understanding Ajax applications by connecting client and server-side execution traces

Overview of attention for article published in Empirical Software Engineering, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

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24 Dimensions

Readers on

mendeley
52 Mendeley
Title
Understanding Ajax applications by connecting client and server-side execution traces
Published in
Empirical Software Engineering, March 2012
DOI 10.1007/s10664-012-9200-5
Authors

Andy Zaidman, Nick Matthijssen, Margaret-Anne Storey, Arie van Deursen

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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
Portugal 1 2%
Sweden 1 2%
Canada 1 2%
Sri Lanka 1 2%
Unknown 46 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 31%
Student > Ph. D. Student 13 25%
Student > Postgraduate 4 8%
Professor 3 6%
Student > Doctoral Student 3 6%
Other 8 15%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 41 79%
Engineering 2 4%
Business, Management and Accounting 1 2%
Design 1 2%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#6,911,735
of 22,663,969 outputs
Outputs from Empirical Software Engineering
#245
of 705 outputs
Outputs of similar age
#46,314
of 156,248 outputs
Outputs of similar age from Empirical Software Engineering
#1
of 1 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 64% 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 156,248 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 68% of its contemporaries.
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