| Title |
On the variation and specialisation of workload—A case study of the Gnome ecosystem community
|
|---|---|
| Published in |
Empirical Software Engineering, February 2013
|
| DOI | 10.1007/s10664-013-9244-1 |
| Authors |
Bogdan Vasilescu, Alexander Serebrenik, Mathieu Goeminne, Tom Mens |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Belgium | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 2% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 59 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 24% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Professor > Associate Professor | 6 | 10% |
| Researcher | 5 | 8% |
| Other | 12 | 19% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 65% |
| Engineering | 5 | 8% |
| Business, Management and Accounting | 4 | 6% |
| Psychology | 2 | 3% |
| Social Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 10 | 16% |
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 25 April 2014.
All research outputs
#14,440,115
of 24,838,271 outputs
Outputs from Empirical Software Engineering
#385
of 757 outputs
Outputs of similar age
#106,620
of 197,083 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 6 outputs
Altmetric has tracked 24,838,271 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 757 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 47th percentile – i.e., 47% 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 197,083 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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.