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Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models

Overview of attention for article published in BMC Medical Research Methodology, May 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 tweeters

Citations

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7 Dimensions

Readers on

mendeley
12 Mendeley
Title
Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models
Published in
BMC Medical Research Methodology, May 2013
DOI 10.1186/1471-2288-13-62
Pubmed ID
Authors

Kazem Nasserinejad, Wim de Kort, Mireille Baart, Arnošt Komárek, Joost van Rosmalen, Emmanuel Lesaffre

Abstract

To optimize the planning of blood donations but also to continue motivating the volunteers it is important to streamline the practical organization of the timing of donations. While donors are asked to return for donation after a suitable period, still a relevant proportion of blood donors is deferred from donation each year due to a too low hemoglobin level. Rejection of donation may demotivate the candidate donor and implies an inefficient planning of the donation process. Hence, it is important to predict the future hemoglobin level to improve the planning of donors' visits to the blood bank.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 %
Canada 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 2 17%
Professor 2 17%
Other 1 8%
Student > Postgraduate 1 8%
Other 3 25%
Readers by discipline Count As %
Medicine and Dentistry 6 50%
Agricultural and Biological Sciences 3 25%
Computer Science 1 8%
Business, Management and Accounting 1 8%
Unspecified 1 8%
Other 0 0%

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 06 May 2013.
All research outputs
#1,529,004
of 3,632,901 outputs
Outputs from BMC Medical Research Methodology
#218
of 487 outputs
Outputs of similar age
#30,171
of 84,926 outputs
Outputs of similar age from BMC Medical Research Methodology
#16
of 26 outputs
Altmetric has tracked 3,632,901 research outputs across all sources so far. This one has received more attention than most of these and is in the 55th percentile.
So far Altmetric has tracked 487 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 52% 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 84,926 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 62% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.