↓ 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

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
21 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 4 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Student > Bachelor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 15 71%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Economics, Econometrics and Finance 1 5%
Unknown 13 62%
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
#15,882,709
of 25,928,676 outputs
Outputs from Diabetology & Metabolic Syndrome
#366
of 821 outputs
Outputs of similar age
#206,724
of 444,164 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#13
of 32 outputs
Altmetric has tracked 25,928,676 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 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 55% 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 444,164 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
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 59% of its contemporaries.