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Transvaginal Real-Time Shear Wave Elastography in the Diagnosis of Endometrial Lesions

Overview of attention for article published in International Journal of General Medicine, June 2021
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
Title
Transvaginal Real-Time Shear Wave Elastography in the Diagnosis of Endometrial Lesions
Published in
International Journal of General Medicine, June 2021
DOI 10.2147/ijgm.s312292
Authors

Yuan-Yuan Du, Xiao-Jing Yan, Yan-Jing Guo, Jing Wang, Xiao-Duo Wen, Nan Wang, Yi Yang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%

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 26 June 2021.
All research outputs
#16,760,537
of 18,950,555 outputs
Outputs from International Journal of General Medicine
#623
of 812 outputs
Outputs of similar age
#265,175
of 335,326 outputs
Outputs of similar age from International Journal of General Medicine
#4
of 4 outputs
Altmetric has tracked 18,950,555 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 812 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. 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 335,326 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 4 others from the same source and published within six weeks on either side of this one.