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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An overview of the design and methods for retrieving high-quality studies for clinical care
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2005
|
| DOI | 10.1186/1472-6947-5-20 |
| Pubmed ID | |
| Authors |
Nancy L Wilczynski, Douglas Morgan, R Brian Haynes, the Hedges Team |
| Abstract |
With the information explosion, the retrieval of the best clinical evidence from large, general purpose, bibliographic databases such as MEDLINE can be difficult. Both researchers conducting systematic reviews and clinicians faced with a patient care question are confronted with the daunting task of searching for the best medical literature in electronic databases. Many have advocated the use of search filters or "hedges" to assist with the searching process. The purpose of this report is to describe the design and methods of a study that set out to develop optimal search strategies for retrieving sound clinical studies of health disorders in large electronics databases. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 5% |
| Spain | 2 | 2% |
| France | 1 | 1% |
| United Kingdom | 1 | 1% |
| Saudi Arabia | 1 | 1% |
| Tanzania, United Republic of | 1 | 1% |
| Denmark | 1 | 1% |
| Greece | 1 | 1% |
| Unknown | 70 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 15 | 18% |
| Researcher | 13 | 16% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 5 | 6% |
| Other | 19 | 23% |
| Unknown | 12 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 41% |
| Computer Science | 11 | 13% |
| Nursing and Health Professions | 5 | 6% |
| Social Sciences | 5 | 6% |
| Engineering | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 17 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 October 2014.
All research outputs
#7,009,265
of 22,953,506 outputs
Outputs from BMC Medical Informatics and Decision Making
#692
of 2,001 outputs
Outputs of similar age
#19,229
of 56,963 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 4 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,001 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 64% 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 56,963 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 65% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.