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Accelerated failure-time model with weighted least-squares estimation: application on survival of HIV positives

Overview of attention for article published in Archives of Public Health, May 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Readers on

mendeley
5 Mendeley
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Title
Accelerated failure-time model with weighted least-squares estimation: application on survival of HIV positives
Published in
Archives of Public Health, May 2021
DOI 10.1186/s13690-021-00617-0
Authors

Yesuf Abdela Mustefa, Ding-Geng Chen

Twitter Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Unknown 4 80%
Readers by discipline Count As %
Immunology and Microbiology 1 20%
Unknown 4 80%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 October 2021.
All research outputs
#3,052,871
of 19,898,358 outputs
Outputs from Archives of Public Health
#157
of 720 outputs
Outputs of similar age
#68,900
of 344,220 outputs
Outputs of similar age from Archives of Public Health
#1
of 1 outputs
Altmetric has tracked 19,898,358 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 720 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 77% 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 344,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
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