| Title |
Ability of online drug databases to assist in clinical decision-making with infectious disease therapies
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2008
|
| DOI | 10.1186/1471-2334-8-153 |
| Pubmed ID | |
| Authors |
Hyla H Polen, Antonia Zapantis, Kevin A Clauson, Jennifer Jebrock, Mark Paris |
| Abstract |
Infectious disease (ID) is a dynamic field with new guidelines being adopted at a rapid rate. Clinical decision support tools (CDSTs) have proven beneficial in selecting treatment options to improve outcomes. However, there is a dearth of information on the abilities of CDSTs, such as drug information databases. This study evaluated online drug information databases when answering infectious disease-specific queries. |
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 % |
|---|---|---|
| Vietnam | 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| United Kingdom | 2 | 3% |
| Portugal | 1 | 2% |
| Finland | 1 | 2% |
| Belgium | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 48 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 7 | 12% |
| Other | 6 | 10% |
| Librarian | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 22 | 38% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 26% |
| Computer Science | 8 | 14% |
| Social Sciences | 4 | 7% |
| Psychology | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 17 | 29% |
| Unknown | 8 | 14% |
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 15 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Infectious Diseases
#4,429
of 7,643 outputs
Outputs of similar age
#78,698
of 92,772 outputs
Outputs of similar age from BMC Infectious Diseases
#6
of 9 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,643 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% 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 92,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.