| Title |
An empirically based terminology and taxonomy for global software engineering
|
|---|---|
| Published in |
Empirical Software Engineering, July 2012
|
| DOI | 10.1007/s10664-012-9217-9 |
| Authors |
Darja Šmite, Claes Wohlin, Zane Galviņa, Rafael Prikladnicki |
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 % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Brazil | 2 | 1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 188 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 57 | 29% |
| Student > Ph. D. Student | 41 | 21% |
| Student > Bachelor | 18 | 9% |
| Student > Doctoral Student | 13 | 7% |
| Professor | 12 | 6% |
| Other | 35 | 18% |
| Unknown | 22 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 124 | 63% |
| Business, Management and Accounting | 16 | 8% |
| Engineering | 14 | 7% |
| Social Sciences | 4 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 9 | 5% |
| Unknown | 28 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 August 2012.
All research outputs
#15,248,503
of 22,673,450 outputs
Outputs from Empirical Software Engineering
#506
of 705 outputs
Outputs of similar age
#104,100
of 163,888 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 5 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 163,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.