You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Setting Energy Efficiency Goals in Data Centers: The GAMES Approach
|
|---|---|
| Chapter number | 1 |
| Book title |
Energy Efficient Data Centers
|
| Published in |
Lecture notes in computer science, May 2012
|
| DOI | 10.1007/978-3-642-33645-4_1 |
| Book ISBNs |
978-3-64-233644-7, 978-3-64-233645-4
|
| Authors |
Barbara Pernici, Cinzia Cappiello, Maria Grazia Fugini, Pierluigi Plebani, Monica Vitali, Ioan Salomie, Tudor Cioara, Ionut Anghel, Ealan Henis, Ronen Kat, Doron Chen, George Goldberg, Micha vor dem Berge, Wolfgang Christmann, Alexander Kipp, Tao Jiang, Jia Liu, Massimo Bertoncini, Diego Arnone, Alessandro Rossi, Jyrki Huusko, Hermann de Meer, Sonja Klingert, Andrey Somov, Pernici, Barbara, Cappiello, Cinzia, Fugini, Maria Grazia, Plebani, Pierluigi, Vitali, Monica, Salomie, Ioan, Cioara, Tudor, Anghel, Ionut, Henis, Ealan, Kat, Ronen, Chen, Doron, Goldberg, George, vor dem Berge, Micha, Christmann, Wolfgang, Kipp, Alexander, Jiang, Tao, Liu, Jia, Bertoncini, Massimo, Arnone, Diego, Rossi, Alessandro |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 8% |
| Ireland | 1 | 4% |
| Germany | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 20 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 24% |
| Student > Ph. D. Student | 4 | 16% |
| Student > Master | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 52% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Unspecified | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 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 12 December 2014.
All research outputs
#18,562,247
of 22,990,068 outputs
Outputs from Lecture notes in computer science
#6,028
of 8,145 outputs
Outputs of similar age
#126,944
of 164,185 outputs
Outputs of similar age from Lecture notes in computer science
#37
of 47 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 164,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.