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Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914

Overview of attention for article published in Scientific Data, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914
Published in
Scientific Data, April 2017
DOI 10.1038/sdata.2017.46
Pubmed ID
Authors

Finn Hedefalk, Patrick Svensson, Lars Harrie

Abstract

This paper presents datasets that enable historical longitudinal studies of micro-level geographic factors in a rural setting. These types of datasets are new, as historical demography studies have generally failed to properly include the micro-level geographic factors. Our datasets describe the geography over five Swedish rural parishes, and by linking them to a longitudinal demographic database, we obtain a geocoded population (at the property unit level) for this area for the period 1813-1914. The population is a subset of the Scanian Economic Demographic Database (SEDD). The geographic information includes the following feature types: property units, wetlands, buildings, roads and railroads. The property units and wetlands are stored in object-lifeline time representations (information about creation, changes and ends of objects are recorded in time), whereas the other feature types are stored as snapshots in time. Thus, the datasets present one of the first opportunities to study historical spatio-temporal patterns at the micro-level.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Master 2 14%
Student > Bachelor 1 7%
Other 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Social Sciences 4 29%
Economics, Econometrics and Finance 2 14%
Medicine and Dentistry 1 7%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 April 2017.
All research outputs
#5,499,004
of 22,963,381 outputs
Outputs from Scientific Data
#1,345
of 2,489 outputs
Outputs of similar age
#88,065
of 310,113 outputs
Outputs of similar age from Scientific Data
#29
of 56 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. This one is in the 45th percentile – i.e., 45% 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 310,113 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 71% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.