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Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania

Overview of attention for article published in BMC Medical Research Methodology, December 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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27 Mendeley
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Title
Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania
Published in
BMC Medical Research Methodology, December 2018
DOI 10.1186/s12874-018-0632-5
Pubmed ID
Authors

Christopher T. Rentsch, Katie Harron, Mark Urassa, Jim Todd, Georges Reniers, Basia Zaba

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 5 19%
Student > Master 4 15%
Student > Bachelor 3 11%
Professor 1 4%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 15%
Nursing and Health Professions 4 15%
Psychology 3 11%
Medicine and Dentistry 3 11%
Economics, Econometrics and Finance 2 7%
Other 4 15%
Unknown 7 26%
Attention Score in Context

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 11 December 2018.
All research outputs
#13,633,933
of 23,117,738 outputs
Outputs from BMC Medical Research Methodology
#1,304
of 2,035 outputs
Outputs of similar age
#215,102
of 436,845 outputs
Outputs of similar age from BMC Medical Research Methodology
#53
of 73 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 33rd percentile – i.e., 33% 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 436,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.