↓ Skip to main content

Network meta-analysis on the efficacy and safety of finerenone versus SGLT2 inhibitors on reducing new-onset of atrial fibrillation in patients with type 2 diabetes mellitus and chronic kidney disease

Overview of attention for article published in Diabetology & Metabolic Syndrome, October 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
22 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
Network meta-analysis on the efficacy and safety of finerenone versus SGLT2 inhibitors on reducing new-onset of atrial fibrillation in patients with type 2 diabetes mellitus and chronic kidney disease
Published in
Diabetology & Metabolic Syndrome, October 2022
DOI 10.1186/s13098-022-00929-3
Pubmed ID
Authors

Yaofu Zhang, Junheng Wang, Li Jiang, Tongxin Wang, Zhuang Li, Xiaozhe Fu, Weijun Huang, Yonghua Xiao, Shidong Wang, Jinxi Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 9%
Other 1 5%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 15 68%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Social Sciences 1 5%
Economics, Econometrics and Finance 1 5%
Unknown 13 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 December 2022.
All research outputs
#16,515,308
of 26,150,873 outputs
Outputs from Diabetology & Metabolic Syndrome
#388
of 832 outputs
Outputs of similar age
#222,749
of 445,832 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#14
of 32 outputs
Altmetric has tracked 26,150,873 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 832 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 53% 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 445,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.