| Title |
MATLAB®: A Language for Parallel Computing
|
|---|---|
| Published in |
International Journal of Parallel Programming, October 2008
|
| DOI | 10.1007/s10766-008-0082-5 |
| Authors |
Gaurav Sharma, Jos Martin |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| United Kingdom | 2 | 1% |
| Switzerland | 1 | <1% |
| Malaysia | 1 | <1% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 139 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 33% |
| Student > Master | 23 | 15% |
| Researcher | 11 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Student > Doctoral Student | 7 | 5% |
| Other | 23 | 15% |
| Unknown | 31 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 51 | 33% |
| Computer Science | 27 | 18% |
| Physics and Astronomy | 10 | 7% |
| Earth and Planetary Sciences | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 20 | 13% |
| Unknown | 40 | 26% |
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 11 November 2015.
All research outputs
#15,302,068
of 22,757,541 outputs
Outputs from International Journal of Parallel Programming
#136
of 170 outputs
Outputs of similar age
#76,683
of 90,383 outputs
Outputs of similar age from International Journal of Parallel Programming
#2
of 2 outputs
Altmetric has tracked 22,757,541 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 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 11th percentile – i.e., 11% 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 90,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.