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Interpreting HIV diagnostic histories into infection time estimates: analytical framework and online tool

Overview of attention for article published in BMC Infectious Diseases, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
34 Mendeley
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Title
Interpreting HIV diagnostic histories into infection time estimates: analytical framework and online tool
Published in
BMC Infectious Diseases, October 2019
DOI 10.1186/s12879-019-4543-9
Pubmed ID
Authors

Eduard Grebe, Shelley N. Facente, Jeremy Bingham, Christopher D. Pilcher, Andrew Powrie, Jarryd Gerber, Gareth Priede, Trust Chibawara, Michael P. Busch, Gary Murphy, Reshma Kassanjee, Alex Welte

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 5 15%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Other 2 6%
Other 2 6%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 6 18%
Mathematics 4 12%
Agricultural and Biological Sciences 3 9%
Unspecified 2 6%
Nursing and Health Professions 2 6%
Other 5 15%
Unknown 12 35%
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 19 December 2022.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from BMC Infectious Diseases
#2,538
of 7,671 outputs
Outputs of similar age
#139,165
of 360,705 outputs
Outputs of similar age from BMC Infectious Diseases
#45
of 170 outputs
Altmetric has tracked 22,788,370 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 7,671 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 62% 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 360,705 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 55% of its contemporaries.
We're also able to compare this research output to 170 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 67% of its contemporaries.