Title |
H-PC: a cloud computing tool for supervising hypertensive patients
|
---|---|
Published in |
The Journal of Supercomputing, October 2014
|
DOI | 10.1007/s11227-014-1312-9 |
Authors |
Jordi Vilaplana, Francesc Solsona, Francesc Abella, Josep Cuadrado, Ivan Teixidó, Jordi Mateo, Josep Rius |
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 % |
---|---|---|
Spain | 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 32% |
Student > Ph. D. Student | 13 | 18% |
Student > Postgraduate | 6 | 8% |
Student > Bachelor | 5 | 7% |
Lecturer | 3 | 4% |
Other | 8 | 11% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 26% |
Computer Science | 14 | 19% |
Environmental Science | 5 | 7% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Business, Management and Accounting | 3 | 4% |
Other | 12 | 17% |
Unknown | 16 | 22% |
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 31 October 2014.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#338
of 543 outputs
Outputs of similar age
#154,390
of 262,097 outputs
Outputs of similar age from The Journal of Supercomputing
#6
of 12 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 20th percentile – i.e., 20% 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 262,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.