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Association between rheumatoid factor and metabolic syndrome in general population

Overview of attention for article published in Diabetology & Metabolic Syndrome, November 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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9 Mendeley
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Title
Association between rheumatoid factor and metabolic syndrome in general population
Published in
Diabetology & Metabolic Syndrome, November 2022
DOI 10.1186/s13098-022-00914-w
Pubmed ID
Authors

Lan Li, Donglai Feng, Jing Zeng, Peng Ye, Yao Chen, Dong Wei

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 11%
Student > Doctoral Student 1 11%
Student > Bachelor 1 11%
Professor 1 11%
Student > Ph. D. Student 1 11%
Other 0 0%
Unknown 4 44%
Readers by discipline Count As %
Medicine and Dentistry 5 56%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2022.
All research outputs
#20,747,586
of 23,347,114 outputs
Outputs from Diabetology & Metabolic Syndrome
#590
of 697 outputs
Outputs of similar age
#354,199
of 444,006 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#22
of 25 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 697 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 444,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.