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Development and Validation of an Algorithm for Thrombosis with Thrombocytopenia Syndrome (TTS) at Unusual Sites

Overview of attention for article published in International Journal of General Medicine, June 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
6 Mendeley
Title
Development and Validation of an Algorithm for Thrombosis with Thrombocytopenia Syndrome (TTS) at Unusual Sites
Published in
International Journal of General Medicine, June 2023
DOI 10.2147/ijgm.s407683
Pubmed ID
Authors

Shayan Hobbi, Patrick Saunders-Hastings, Cindy Ke Zhou, Jeffrey Beers, Ananth Srikrishnan, Aaron Hettinger, Aarthi Shenoy, Timothy Burrell, Keran Moll, Patricia C Lloyd, Steven A Anderson, Azadeh Shoaibi, Hui-Lee Wong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Other 1 17%
Unknown 4 67%
Readers by discipline Count As %
Unspecified 1 17%
Medicine and Dentistry 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 July 2023.
All research outputs
#6,312,212
of 24,047,183 outputs
Outputs from International Journal of General Medicine
#274
of 1,530 outputs
Outputs of similar age
#86,458
of 321,790 outputs
Outputs of similar age from International Journal of General Medicine
#2
of 28 outputs
Altmetric has tracked 24,047,183 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,530 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 81% 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 321,790 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 72% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.