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Mendeley readers
Attention Score in Context
Title |
Creating a replicable, valid cross-platform buffering technique: The sausage network buffer for measuring food and physical activity built environments
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Published in |
International Journal of Health Geographics, July 2012
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DOI | 10.1186/1476-072x-11-14 |
Pubmed ID | |
Authors |
Ann Forsyth, David Van Riper, Nicole Larson, Melanie Wall, Dianne Neumark-Sztainer |
Abstract |
Obesity researchers increasingly use geographic information systems to measure exposure and access in neighborhood food and physical activity environments. This paper proposes a network buffering approach, the "sausage" buffer. This method can be consistently and easily replicated across software versions and platforms, avoiding problems with proprietary systems that use different approaches in creating such buffers. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 2% |
Canada | 1 | <1% |
Ghana | 1 | <1% |
Unknown | 128 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 21% |
Student > Master | 22 | 17% |
Researcher | 20 | 15% |
Student > Doctoral Student | 8 | 6% |
Student > Bachelor | 8 | 6% |
Other | 18 | 14% |
Unknown | 28 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 27 | 20% |
Medicine and Dentistry | 13 | 10% |
Agricultural and Biological Sciences | 9 | 7% |
Environmental Science | 9 | 7% |
Earth and Planetary Sciences | 6 | 5% |
Other | 28 | 21% |
Unknown | 40 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 June 2012.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from International Journal of Health Geographics
#434
of 654 outputs
Outputs of similar age
#114,122
of 177,906 outputs
Outputs of similar age from International Journal of Health Geographics
#13
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 177,906 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.