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Stem cells from human exfoliated deciduous teeth ameliorate type II diabetic mellitus in Goto-Kakizaki rats

Overview of attention for article published in Diabetology & Metabolic Syndrome, February 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Stem cells from human exfoliated deciduous teeth ameliorate type II diabetic mellitus in Goto-Kakizaki rats
Published in
Diabetology & Metabolic Syndrome, February 2019
DOI 10.1186/s13098-019-0417-y
Pubmed ID
Authors

Nanquan Rao, Xiaotong Wang, Yue Zhai, Jingzhi Li, Jing Xie, Yuming Zhao, Lihong Ge

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 28%
Student > Master 6 24%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Unspecified 1 4%
Other 1 4%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 10 40%
Biochemistry, Genetics and Molecular Biology 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 2 8%
Other 2 8%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 May 2019.
All research outputs
#7,591,661
of 23,146,350 outputs
Outputs from Diabetology & Metabolic Syndrome
#223
of 683 outputs
Outputs of similar age
#143,010
of 353,563 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#3
of 14 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 683 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 62% 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 353,563 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 54% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.