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Dove Medical Press

Beyond Predicting the Number of Infections: Predicting Who is Likely to Be COVID Negative or Positive

Overview of attention for article published in Risk Management and Healthcare Policy, December 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
73 Mendeley
Title
Beyond Predicting the Number of Infections: Predicting Who is Likely to Be COVID Negative or Positive
Published in
Risk Management and Healthcare Policy, December 2020
DOI 10.2147/rmhp.s273755
Pubmed ID
Authors

Stephen X Zhang, Shuhua Sun, Asghar Afshar Jahanshahi, Yifei Wang, Abbas Nazarian Madavani, Jizhen Li, Maryam Mokhtari Dinani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Bachelor 12 16%
Student > Master 8 11%
Student > Ph. D. Student 7 10%
Lecturer 3 4%
Other 12 16%
Unknown 19 26%
Readers by discipline Count As %
Medicine and Dentistry 18 25%
Nursing and Health Professions 6 8%
Social Sciences 5 7%
Business, Management and Accounting 4 5%
Engineering 3 4%
Other 14 19%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 May 2022.
All research outputs
#7,715,752
of 23,462,326 outputs
Outputs from Risk Management and Healthcare Policy
#218
of 649 outputs
Outputs of similar age
#190,941
of 510,186 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#19
of 48 outputs
Altmetric has tracked 23,462,326 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 649 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 63% 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 510,186 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 57% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.