Title |
Macro-level software evolution: a case study of a large software compilation
|
---|---|
Published in |
Empirical Software Engineering, November 2008
|
DOI | 10.1007/s10664-008-9100-x |
Authors |
Jesus M. Gonzalez-Barahona, Gregorio Robles, Martin Michlmayr, Juan José Amor, Daniel M. German |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 4% |
Spain | 2 | 4% |
Brazil | 1 | 2% |
Portugal | 1 | 2% |
Italy | 1 | 2% |
United States | 1 | 2% |
Unknown | 48 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 23% |
Professor > Associate Professor | 10 | 18% |
Student > Ph. D. Student | 9 | 16% |
Student > Master | 7 | 13% |
Student > Doctoral Student | 4 | 7% |
Other | 5 | 9% |
Unknown | 8 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 38 | 68% |
Social Sciences | 5 | 9% |
Engineering | 3 | 5% |
Business, Management and Accounting | 1 | 2% |
Unknown | 9 | 16% |
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 02 September 2014.
All research outputs
#6,921,714
of 22,696,971 outputs
Outputs from Empirical Software Engineering
#246
of 705 outputs
Outputs of similar age
#44,905
of 165,586 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 4 outputs
Altmetric has tracked 22,696,971 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 165,586 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 4 others from the same source and published within six weeks on either side of this one.