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The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort

Overview of attention for article published in BMC Medicine, July 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
4 news outlets
policy
1 policy source
twitter
75 X users

Citations

dimensions_citation
176 Dimensions

Readers on

mendeley
429 Mendeley
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Title
The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort
Published in
BMC Medicine, July 2019
DOI 10.1186/s12916-019-1373-y
Pubmed ID
Authors

Magdalena Nowakowska, Salwa S. Zghebi, Darren M. Ashcroft, Iain Buchan, Carolyn Chew-Graham, Tim Holt, Christian Mallen, Harm Van Marwijk, Niels Peek, Rafael Perera-Salazar, David Reeves, Martin K. Rutter, Stephen F. Weng, Nadeem Qureshi, Mamas A. Mamas, Evangelos Kontopantelis

X Demographics

X Demographics

The data shown below were collected from the profiles of 75 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 429 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 429 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 12%
Researcher 45 10%
Student > Ph. D. Student 44 10%
Student > Bachelor 41 10%
Other 19 4%
Other 46 11%
Unknown 181 42%
Readers by discipline Count As %
Medicine and Dentistry 77 18%
Nursing and Health Professions 41 10%
Biochemistry, Genetics and Molecular Biology 27 6%
Pharmacology, Toxicology and Pharmaceutical Science 14 3%
Computer Science 11 3%
Other 55 13%
Unknown 204 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 May 2023.
All research outputs
#594,925
of 25,965,655 outputs
Outputs from BMC Medicine
#430
of 4,115 outputs
Outputs of similar age
#12,190
of 361,420 outputs
Outputs of similar age from BMC Medicine
#7
of 61 outputs
Altmetric has tracked 25,965,655 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,115 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.3. This one has done well, scoring higher than 89% 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 361,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.