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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The cloud paradigm applied to e-Health
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2013
|
| DOI | 10.1186/1472-6947-13-35 |
| Pubmed ID | |
| Authors |
Jordi Vilaplana, Francesc Solsona, Francesc Abella, Rosa Filgueira, Josep Rius |
| Abstract |
Cloud computing is a new paradigm that is changing how enterprises, institutions and people understand, perceive and use current software systems. With this paradigm, the organizations have no need to maintain their own servers, nor host their own software. Instead, everything is moved to the cloud and provided on demand, saving energy, physical space and technical staff. Cloud-based system architectures provide many advantages in terms of scalability, maintainability and massive data processing. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Spain | 2 | 20% |
| India | 1 | 10% |
| Canada | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| United States | 2 | 1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 158 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 56 | 34% |
| Student > Ph. D. Student | 23 | 14% |
| Researcher | 15 | 9% |
| Student > Bachelor | 15 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 24 | 15% |
| Unknown | 24 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 24% |
| Agricultural and Biological Sciences | 23 | 14% |
| Environmental Science | 17 | 10% |
| Engineering | 15 | 9% |
| Medicine and Dentistry | 8 | 5% |
| Other | 34 | 21% |
| Unknown | 28 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 September 2016.
All research outputs
#4,164,182
of 24,898,480 outputs
Outputs from BMC Medical Informatics and Decision Making
#341
of 2,116 outputs
Outputs of similar age
#32,926
of 201,011 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 44 outputs
Altmetric has tracked 24,898,480 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 83% of its peers.
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 201,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.