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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The application of foraging theory to the information searching behaviour of general practitioners
|
|---|---|
| Published in |
BMC Primary Care, August 2011
|
| DOI | 10.1186/1471-2296-12-90 |
| Pubmed ID | |
| Authors |
Mai Dwairy, Anthony C Dowell, Jean-Claude Stahl |
| Abstract |
General Practitioners (GPs) employ strategies to identify and retrieve medical evidence for clinical decision making which take workload and time constraints into account. Optimal Foraging Theory (OFT) initially developed to study animal foraging for food is used to explore the information searching behaviour of General Practitioners. This study is the first to apply foraging theory within this context.Study objectives were: 1. To identify the sequence and steps deployed in identifiying and retrieving evidence for clinical decision making. 2. To utilise Optimal Foraging Theory to assess the effectiveness and efficiency of General Practitioner information searching. |
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 % |
|---|---|---|
| United States | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Portugal | 2 | 2% |
| United States | 2 | 2% |
| Germany | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Tanzania, United Republic of | 1 | 1% |
| Peru | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 85 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 13 | 13% |
| Librarian | 12 | 12% |
| Professor | 6 | 6% |
| Researcher | 6 | 6% |
| Other | 21 | 22% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 15% |
| Social Sciences | 14 | 14% |
| Computer Science | 11 | 11% |
| Arts and Humanities | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Other | 21 | 22% |
| Unknown | 25 | 26% |
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 25 September 2011.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from BMC Primary Care
#1,040
of 2,359 outputs
Outputs of similar age
#43,624
of 134,463 outputs
Outputs of similar age from BMC Primary Care
#4
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 54% 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 134,463 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 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.