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Attention Score in Context
Title |
Validity and feasibility of a satellite imagery-based method for rapid estimation of displaced populations
|
---|---|
Published in |
International Journal of Health Geographics, January 2013
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DOI | 10.1186/1476-072x-12-4 |
Pubmed ID | |
Authors |
Francesco Checchi, Barclay T Stewart, Jennifer J Palmer, Chris Grundy |
Abstract |
Estimating the size of forcibly displaced populations is key to documenting their plight and allocating sufficient resources to their assistance, but is often not done, particularly during the acute phase of displacement, due to methodological challenges and inaccessibility. In this study, we explored the potential use of very high resolution satellite imagery to remotely estimate forcibly displaced populations. |
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 % |
---|---|---|
Switzerland | 1 | 25% |
Panama | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
France | 1 | <1% |
Unknown | 125 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 29 | 23% |
Researcher | 24 | 19% |
Student > Ph. D. Student | 20 | 16% |
Other | 9 | 7% |
Student > Doctoral Student | 8 | 6% |
Other | 12 | 9% |
Unknown | 26 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 23 | 18% |
Medicine and Dentistry | 20 | 16% |
Earth and Planetary Sciences | 12 | 9% |
Environmental Science | 9 | 7% |
Nursing and Health Professions | 6 | 5% |
Other | 24 | 19% |
Unknown | 34 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 February 2013.
All research outputs
#2,726,172
of 22,693,205 outputs
Outputs from International Journal of Health Geographics
#94
of 627 outputs
Outputs of similar age
#29,627
of 280,489 outputs
Outputs of similar age from International Journal of Health Geographics
#7
of 47 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 85% 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 280,489 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 89% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.