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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design of a graphical and interactive interface for facilitating access to drug contraindications, cautions for use, interactions and adverse effects
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2008
|
| DOI | 10.1186/1472-6947-8-21 |
| Pubmed ID | |
| Authors |
Jean-Baptiste Lamy, Alain Venot, Avner Bar-Hen, Patrick Ouvrard, Catherine Duclos |
| Abstract |
Drug iatrogeny is important but could be decreased if contraindications, cautions for use, drug interactions and adverse effects of drugs described in drug monographs were taken into account. However, the physician's time is limited during consultations, and this information is often not consulted. We describe here the design of "Mister VCM", a graphical interface based on the VCM graphical language, facilitating access to drug monographs. We also provide an assessment of the usability of this interface. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Portugal | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 60 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Researcher | 12 | 18% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 6 | 9% |
| Student > Postgraduate | 5 | 7% |
| Other | 15 | 22% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 34% |
| Computer Science | 17 | 25% |
| Engineering | 4 | 6% |
| Business, Management and Accounting | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 August 2013.
All research outputs
#6,252,911
of 22,691,736 outputs
Outputs from BMC Medical Informatics and Decision Making
#584
of 1,980 outputs
Outputs of similar age
#24,953
of 82,268 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 10 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 69% 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 82,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% 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 4 of them.