The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective
|
|---|---|
| Published in |
Frontiers in Digital Humanities, May 2018
|
| DOI | 10.3389/fdigh.2018.00008 |
| Authors |
Arianna Dagliati, Valentina Tibollo, Lucia Sacchi, Alberto Malovini, Ivan Limongelli, Matteo Gabetta, Carlo Napolitano, Andrea Mazzanti, Pasquale De Cata, Luca Chiovato, Silvia Priori, Riccardo Bellazzi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Italy | 2 | 25% |
| United Kingdom | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 19% |
| Student > Ph. D. Student | 12 | 15% |
| Researcher | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Professor | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 25 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 16% |
| Medicine and Dentistry | 11 | 14% |
| Nursing and Health Professions | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 15 | 19% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 October 2020.
All research outputs
#2,139,411
of 25,292,646 outputs
Outputs from Frontiers in Digital Humanities
#17
of 88 outputs
Outputs of similar age
#43,514
of 332,860 outputs
Outputs of similar age from Frontiers in Digital Humanities
#3
of 10 outputs
Altmetric has tracked 25,292,646 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 88 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 80% 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 332,860 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 86% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.