Title |
An empirical study on the interplay between semantic coupling and co-change of software classes
|
---|---|
Published in |
Empirical Software Engineering, November 2017
|
DOI | 10.1007/s10664-017-9569-2 |
Authors |
Nemitari Ajienka, Andrea Capiluppi, Steve Counsell |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Brazil | 1 | 17% |
Sweden | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 30% |
Student > Master | 9 | 16% |
Student > Doctoral Student | 5 | 9% |
Researcher | 5 | 9% |
Student > Bachelor | 4 | 7% |
Other | 9 | 16% |
Unknown | 8 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 40 | 70% |
Engineering | 2 | 4% |
Social Sciences | 2 | 4% |
Psychology | 1 | 2% |
Environmental Science | 1 | 2% |
Other | 2 | 4% |
Unknown | 9 | 16% |
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 25 February 2020.
All research outputs
#6,795,163
of 24,226,848 outputs
Outputs from Empirical Software Engineering
#199
of 746 outputs
Outputs of similar age
#128,043
of 445,806 outputs
Outputs of similar age from Empirical Software Engineering
#16
of 32 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 746 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 73% 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 445,806 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 71% 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 gotten more attention than average, scoring higher than 50% of its contemporaries.