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To react, or not to react: Patterns of reaction to API deprecation

Overview of attention for article published in Empirical Software Engineering, May 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
33 Mendeley
Title
To react, or not to react: Patterns of reaction to API deprecation
Published in
Empirical Software Engineering, May 2019
DOI 10.1007/s10664-019-09713-w
Authors

Anand Ashok Sawant, Romain Robbes, Alberto Bacchelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 4 12%
Professor 2 6%
Unspecified 2 6%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 10 30%
Readers by discipline Count As %
Computer Science 14 42%
Unspecified 2 6%
Unknown 17 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2022.
All research outputs
#6,574,632
of 24,980,180 outputs
Outputs from Empirical Software Engineering
#163
of 762 outputs
Outputs of similar age
#110,553
of 356,402 outputs
Outputs of similar age from Empirical Software Engineering
#8
of 32 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 762 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 356,402 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 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.