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What Java developers know about compatibility, and why this matters

Overview of attention for article published in Empirical Software Engineering, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
23 Mendeley
Title
What Java developers know about compatibility, and why this matters
Published in
Empirical Software Engineering, July 2015
DOI 10.1007/s10664-015-9389-1
Authors

Jens Dietrich, Kamil Jezek, Premek Brada

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 35%
Student > Master 4 17%
Professor > Associate Professor 2 9%
Student > Bachelor 2 9%
Other 1 4%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 16 70%
Psychology 1 4%
Engineering 1 4%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 September 2018.
All research outputs
#12,646,769
of 22,881,154 outputs
Outputs from Empirical Software Engineering
#317
of 705 outputs
Outputs of similar age
#111,847
of 262,959 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 12 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
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 54% 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 262,959 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 57% of its contemporaries.
We're also able to compare this research output to 12 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.