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A training manual for event history data management using Health and Demographic Surveillance System data

Overview of attention for article published in BMC Research Notes, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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17 X users

Citations

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12 Dimensions

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23 Mendeley
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Title
A training manual for event history data management using Health and Demographic Surveillance System data
Published in
BMC Research Notes, June 2017
DOI 10.1186/s13104-017-2541-9
Pubmed ID
Authors

Philippe Bocquier, Carren Ginsburg, Kobus Herbst, Osman Sankoh, Mark A. Collinson

Abstract

The objective of this research note is to introduce a training manual for event history data management. The manual provides a first comprehensive guide to longitudinal Health and Demographic Surveillance System (HDSS) data management that allows for a step-by-step description of the process of structuring and preparing a dataset for the calculation of demographic rates and event history analysis. The research note provides some background information on the INDEPTH Network, and the iShare data repository and describes the need for a manual to guide users as to how to correctly handle HDSS datasets. The approach outlined in the manual is flexible and can be applied to other longitudinal data sources. It facilitates the development of standardised longitudinal data management and harmonization of datasets to produce a comparative set of results.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Postgraduate 3 13%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Researcher 2 9%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Social Sciences 6 26%
Nursing and Health Professions 2 9%
Medicine and Dentistry 2 9%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 3 13%
Unknown 8 35%
Attention Score in Context

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 30 November 2020.
All research outputs
#3,093,831
of 24,074,860 outputs
Outputs from BMC Research Notes
#408
of 4,360 outputs
Outputs of similar age
#56,423
of 319,094 outputs
Outputs of similar age from BMC Research Notes
#17
of 123 outputs
Altmetric has tracked 24,074,860 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 4,360 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 90% 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 319,094 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 82% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.