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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 (85th percentile)

Mentioned by

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21 tweeters

Citations

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3 Dimensions

Readers on

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12 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.

Twitter Demographics

The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 25%
Other 2 17%
Student > Master 2 17%
Student > Bachelor 1 8%
Researcher 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Social Sciences 5 42%
Nursing and Health Professions 2 17%
Agricultural and Biological Sciences 1 8%
Mathematics 1 8%
Design 1 8%
Other 0 0%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 21 February 2018.
All research outputs
#1,164,876
of 13,513,814 outputs
Outputs from BMC Research Notes
#163
of 3,064 outputs
Outputs of similar age
#37,225
of 265,519 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 13,513,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,064 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 94% 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 265,519 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them