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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Method Paper – Distance and Travel Time to Casualty Clinics in Norway Based on Crowdsourced Postcode Coordinates: A Comparison with Other Methods
|
|---|---|
| Published in |
PLOS ONE, February 2014
|
| DOI | 10.1371/journal.pone.0089287 |
| Pubmed ID | |
| Authors |
Guttorm Raknes, Steinar Hunskaar |
| Abstract |
We describe a method that uses crowdsourced postcode coordinates and Google maps to estimate average distance and travel time for inhabitants of a municipality to a casualty clinic in Norway. The new method was compared with methods based on population centroids, median distance and town hall location, and we used it to examine how distance affects the utilisation of out-of-hours primary care services. At short distances our method showed good correlation with mean travel time and distance. The utilisation of out-of-hours services correlated with postcode based distances similar to previous research. The results show that our method is a reliable and useful tool for estimating average travel distances and travel times. |
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 % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 21% |
| Student > Doctoral Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 29% |
| Nursing and Health Professions | 2 | 8% |
| Sports and Recreations | 2 | 8% |
| Physics and Astronomy | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 42% |
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 15 February 2017.
All research outputs
#5,869,362
of 22,745,803 outputs
Outputs from PLOS ONE
#70,462
of 194,149 outputs
Outputs of similar age
#70,737
of 314,263 outputs
Outputs of similar age from PLOS ONE
#1,790
of 5,747 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 194,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 63% 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 314,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 5,747 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.