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Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity

Overview of attention for article published in BMC Medical Research Methodology, July 2021
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity
Published in
BMC Medical Research Methodology, July 2021
DOI 10.1186/s12874-021-01338-2
Pubmed ID
Authors

Kenichiro Sato, Tatsuo Mano, Atsushi Iwata, Tatsushi Toda

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Student > Bachelor 4 15%
Librarian 3 12%
Other 2 8%
Student > Master 2 8%
Other 2 8%
Unknown 7 27%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Social Sciences 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 5 19%
Unknown 9 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 July 2021.
All research outputs
#16,103,298
of 20,034,281 outputs
Outputs from BMC Medical Research Methodology
#1,540
of 1,794 outputs
Outputs of similar age
#239,079
of 340,480 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 20,034,281 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 6th percentile – i.e., 6% 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 340,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
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