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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
23 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
Authors

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

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 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 > Ph. D. Student 7 30%
Researcher 5 22%
Student > Bachelor 3 13%
Student > Master 3 13%
Professor 1 4%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Nursing and Health Professions 4 17%
Pharmacology, Toxicology and Pharmaceutical Science 3 13%
Psychology 3 13%
Medicine and Dentistry 3 13%
Economics, Econometrics and Finance 2 9%
Other 3 13%
Unknown 5 22%

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
#7,562,287
of 14,015,434 outputs
Outputs from BMC Medical Research Methodology
#760
of 1,287 outputs
Outputs of similar age
#168,590
of 368,048 outputs
Outputs of similar age from BMC Medical Research Methodology
#129
of 162 outputs
Altmetric has tracked 14,015,434 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,287 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 38th percentile – i.e., 38% 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 368,048 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 52% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.