| Title |
Green mining: a methodology of relating software change and configuration to power consumption
|
|---|---|
| Published in |
Empirical Software Engineering, September 2013
|
| DOI | 10.1007/s10664-013-9276-6 |
| Authors |
Abram Hindle |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Indonesia | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 98 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 24% |
| Student > Master | 20 | 19% |
| Student > Doctoral Student | 9 | 9% |
| Lecturer | 8 | 8% |
| Researcher | 5 | 5% |
| Other | 19 | 18% |
| Unknown | 17 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 73 | 71% |
| Engineering | 5 | 5% |
| Business, Management and Accounting | 2 | 2% |
| Earth and Planetary Sciences | 1 | <1% |
| Environmental Science | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 21 | 20% |
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 07 May 2015.
All research outputs
#20,284,384
of 22,818,766 outputs
Outputs from Empirical Software Engineering
#624
of 705 outputs
Outputs of similar age
#179,560
of 205,224 outputs
Outputs of similar age from Empirical Software Engineering
#9
of 11 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 205,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.