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Identifying public concerns and reactions during the COVID‐19 pandemic on Twitter: A text‐mining analysis

Overview of attention for article published in Public Health Nursing, November 2020
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Mentioned by

twitter
1 X user

Readers on

mendeley
115 Mendeley
Article details
Title
Identifying public concerns and reactions during the COVID‐19 pandemic on Twitter: A text‐mining analysis
Published in
Public Health Nursing, November 2020
DOI 10.1111/phn.12843
Pubmed ID
Authors

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Timeline Attention over time Attention Score history

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 12%
Student > Master 11 10%
Student > Bachelor 9 8%
Other 6 5%
Lecturer 5 4%
Other 21 18%
Unknown 49 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 16 14%
Nursing and Health Professions 13 11%
Computer Science 8 7%
Social Sciences 8 7%
Psychology 3 3%
Other 14 12%
Unknown 53 46%
Attention Score in Context

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 02 December 2020.
All research outputs
#20,429,992
of 22,982,639 outputs
Outputs from Public Health Nursing
#777
of 815 outputs
Outputs of similar age
#430,438
of 506,201 outputs
Outputs of similar age from Public Health Nursing
#19
of 20 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 815 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% 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 506,201 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.