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The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors

Overview of attention for article published in Journal of Diabetes Science and Technology, October 2024
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
4 X users
guideline
1 clinical guideline source

Readers on

mendeley
42 Mendeley
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Article details
Title
The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors
Published in
Journal of Diabetes Science and Technology, October 2024
DOI 10.1177/19322968241275701
Pubmed ID
Authors

David C. Klonoff, Guido Freckmann, Stefan Pleus, Boris P. Kovatchev, David Kerr, Chui Tse, Chengdong Li, Michael S. D. Agus, Kathleen Dungan, Barbora Voglová Hagerf, Jan S. Krouwer, Wei-An Lee, Shivani Misra, Sang Youl Rhee, Ashutosh Sabharwal, Jane Jeffrie Seley, Viral N. Shah, Nam K. Tran, Kayo Waki, Chris Worth, Tiffany Tian, Rachel E. Aaron, Keetan Rutledge, Cindy N. Ho, Alessandra T. Ayers, Amanda Adler, David T. Ahn, Halis Kaan Aktürk, Mohammed E. Al-Sofiani, Timothy S. Bailey, Matt Baker, Lia Bally, Raveendhara R. Bannuru, Elizabeth M. Bauer, Yong Mong Bee, Julia E. Blanchette, Eda Cengiz, James Geoffrey Chase, Kong Y. Chen, Daniel Cherñavvsky, Mark Clements, Gerard L. Cote, Ketan K. Dhatariya, Andjela Drincic, Niels Ejskjaer, Juan Espinoza, Chiara Fabris, G. Alexander Fleming, Monica A. L. Gabbay, Rodolfo J. Galindo, Ana María Gómez-Medina, Lutz Heinemann, Norbert Hermanns, Thanh Hoang, Sufyan Hussain, Peter G. Jacobs, Johan Jendle, Shashank R. Joshi, Suneil K. Koliwad, Rayhan A. Lal, Lawrence A. Leiter, Marcus Lind, Julia K. Mader, Alberto Maran, Umesh Masharani, Nestoras Mathioudakis, Michael McShane, Chhavi Mehta, Sun-Joon Moon, James H. Nichols, David N. O’Neal, Francisco J. Pasquel, Anne L. Peters, Andreas Pfützner, Rodica Pop-Busui, Pratistha Ranjitkar, Connie M. Rhee, David B. Sacks, Signe Schmidt, Simon M. Schwaighofer, Bin Sheng, Gregg D. Simonson, Koji Sode, Elias K. Spanakis, Nicole L. Spartano, Guillermo E. Umpierrez, Maryam Vareth, Hubert W. Vesper, Jing Wang, Eugene Wright, Alan H.B. Wu, Sewagegn Yeshiwas, Mihail Zilbermint, Michael A. Kohn

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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 profiles of 4 X users 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 42 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 42 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 3 7%
Student > Ph. D. Student 3 7%
Student > Master 3 7%
Other 2 5%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 26 62%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 12%
Unspecified 3 7%
Engineering 3 7%
Nursing and Health Professions 2 5%
Business, Management and Accounting 1 2%
Other 2 5%
Unknown 26 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 November 2025.
All research outputs
#7,435,878
of 34,492,055 outputs
Outputs from Journal of Diabetes Science and Technology
#814
of 2,151 outputs
Outputs of similar age
#81,029
of 346,567 outputs
Outputs of similar age from Journal of Diabetes Science and Technology
#5
of 23 outputs
Altmetric has tracked 34,492,055 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. 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 346,567 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 76% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.