| Title |
Drug prescribing in patients with renal impairment optimized by a computer-based, semi-automated system
|
|---|---|
| Published in |
International Journal of Clinical Pharmacy, September 2013
|
| DOI | 10.1007/s11096-013-9843-3 |
| Pubmed ID | |
| Authors |
Ana Such Díaz, Javier Saez de la Fuente, Laura Esteva, Ana María Alañón Pardo, Nélida Barrueco, Concepción Esteban, Ismael Escobar Rodríguez |
| Abstract |
According to several studies, despite of the existence of several published guidelines for dosing adjustments based on renal function, inappropriate prescribing is a common drug-related problem in inpatient care. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Spain | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 73 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Researcher | 10 | 13% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Other | 5 | 7% |
| Other | 17 | 22% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 17% |
| Nursing and Health Professions | 6 | 8% |
| Computer Science | 5 | 7% |
| Engineering | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 September 2013.
All research outputs
#13,391,391
of 22,721,584 outputs
Outputs from International Journal of Clinical Pharmacy
#626
of 1,075 outputs
Outputs of similar age
#104,008
of 198,457 outputs
Outputs of similar age from International Journal of Clinical Pharmacy
#11
of 15 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 39th percentile – i.e., 39% 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 198,457 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.