| Title |
Towards a symbiotic relationship between big data, artificial intelligence, and hospital pharmacy
|
|---|---|
| Published in |
Journal of Pharmaceutical Policy and Practice, November 2020
|
| DOI | 10.1186/s40545-020-00276-6 |
| Pubmed ID | |
| Authors |
Carlos Del Rio-Bermudez, Ignacio H. Medrano, Laura Yebes, Jose Luis Poveda |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 10 | 48% |
| France | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 76% |
| Practitioners (doctors, other healthcare professionals) | 4 | 19% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 7% |
| Student > Master | 8 | 7% |
| Other | 6 | 5% |
| Researcher | 5 | 5% |
| Lecturer | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 65 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 9% |
| Medicine and Dentistry | 9 | 8% |
| Engineering | 6 | 5% |
| Computer Science | 6 | 5% |
| Business, Management and Accounting | 5 | 5% |
| Other | 9 | 8% |
| Unknown | 66 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 10 December 2020.
All research outputs
#2,424,782
of 24,213,557 outputs
Outputs from Journal of Pharmaceutical Policy and Practice
#60
of 448 outputs
Outputs of similar age
#61,714
of 422,780 outputs
Outputs of similar age from Journal of Pharmaceutical Policy and Practice
#2
of 14 outputs
Altmetric has tracked 24,213,557 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 86% 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 422,780 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 85% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.