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Mendeley readers
Attention Score in Context
| Title |
Linking GPS and travel diary data using sequence alignment in a study of children's independent mobility
|
|---|---|
| Published in |
International Journal of Health Geographics, December 2011
|
| DOI | 10.1186/1476-072x-10-64 |
| Pubmed ID | |
| Authors |
Suzanne Mavoa, Melody Oliver, Karen Witten, Hannah M Badland |
| Abstract |
Global positioning systems (GPS) are increasingly being used in health research to determine the location of study participants. Combining GPS data with data collected via travel/activity diaries allows researchers to assess where people travel in conjunction with data about trip purpose and accompaniment. However, linking GPS and diary data is problematic and to date the only method has been to match the two datasets manually, which is time consuming and unlikely to be practical for larger data sets. This paper assesses the feasibility of a new sequence alignment method of linking GPS and travel diary data in comparison with the manual matching method. |
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 % |
|---|---|---|
| Australia | 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 108 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 23% |
| Researcher | 22 | 19% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 7 | 6% |
| Other | 18 | 16% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 30 | 26% |
| Engineering | 13 | 11% |
| Computer Science | 9 | 8% |
| Environmental Science | 8 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Other | 23 | 20% |
| Unknown | 26 | 22% |
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 31 December 2014.
All research outputs
#7,355,485
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#240
of 654 outputs
Outputs of similar age
#59,532
of 246,644 outputs
Outputs of similar age from International Journal of Health Geographics
#6
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 62% 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 246,644 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 73% of its contemporaries.
We're also able to compare this research output to 12 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 50% of its contemporaries.