↓ Skip to main content

Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries

Overview of attention for article published in The Lancet Diabetes & Endocrinology, September 2024
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 2,249)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
247 news outlets
blogs
11 blogs
twitter
581 X users
facebook
4 Facebook pages
reddit
3 Redditors
video
1 YouTube creator

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries
Published in
The Lancet Diabetes & Endocrinology, September 2024
DOI 10.1016/s2213-8587(24)00179-7
Pubmed ID
Authors

Chunxiao Li, Tom R P Bishop, Fumiaki Imamura, Stephen J Sharp, Matthew Pearce, Soren Brage, Ken K Ong, Habibul Ahsan, Maira Bes-Rastrollo, Joline W J Beulens, Nicole den Braver, Liisa Byberg, Scheine Canhada, Zhengming Chen, Hsin-Fang Chung, Adrian Cortés-Valencia, Luc Djousse, Jean-Philippe Drouin-Chartier, Huaidong Du, Shufa Du, Bruce B Duncan, J Michael Gaziano, Penny Gordon-Larsen, Atsushi Goto, Fahimeh Haghighatdoost, Tommi Härkänen, Maryam Hashemian, Frank B Hu, Till Ittermann, Ritva Järvinen, Maria G Kakkoura, Nithya Neelakantan, Paul Knekt, Martin Lajous, Yanping Li, Dianna J Magliano, Reza Malekzadeh, Loic Le Marchand, Pedro Marques-Vidal, Miguel A Martinez-Gonzalez, Gertraud Maskarinec, Gita D Mishra, Noushin Mohammadifard, Gráinne O'Donoghue, Donal O'Gorman, Barry Popkin, Hossein Poustchi, Nizal Sarrafzadegan, Norie Sawada, Maria Inês Schmidt, Jonathan E Shaw, Sabita Soedamah-Muthu, Dalia Stern, Lin Tong, Rob M van Dam, Henry Völzke, Walter C Willett, Alicja Wolk, Canqing Yu, EPIC-InterAct Consortium, Nita G Forouhi, Nicholas J Wareham

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 581 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 59%
Researcher 5 29%
Student > Ph. D. Student 1 6%
Other 1 6%
Readers by discipline Count As %
Unspecified 9 53%
Medicine and Dentistry 4 24%
Nursing and Health Professions 3 18%
Biochemistry, Genetics and Molecular Biology 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2287. 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 20 September 2024.
All research outputs
#3,852
of 26,239,624 outputs
Outputs from The Lancet Diabetes & Endocrinology
#5
of 2,249 outputs
Outputs of similar age
#23
of 186,819 outputs
Outputs of similar age from The Lancet Diabetes & Endocrinology
#1
of 40 outputs
Altmetric has tracked 26,239,624 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 79.5. This one has done particularly well, scoring higher than 99% 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 186,819 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 99% of its contemporaries.
We're also able to compare this research output to 40 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 97% of its contemporaries.