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A stepwise data interpretation process for renal amyloidosis typing by LMD-MS

Overview of attention for article published in BMC Nephrology, April 2022
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2 X users

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
A stepwise data interpretation process for renal amyloidosis typing by LMD-MS
Published in
BMC Nephrology, April 2022
DOI 10.1186/s12882-022-02785-9
Pubmed ID
Authors

Ming Ke, Xin Li, Lin Wang, Shuling Yue, Beibei Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 20%
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Arts and Humanities 1 20%
Medicine and Dentistry 1 20%
Engineering 1 20%
Unknown 2 40%
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 14 April 2022.
All research outputs
#18,985,884
of 23,538,320 outputs
Outputs from BMC Nephrology
#1,929
of 2,538 outputs
Outputs of similar age
#316,940
of 443,532 outputs
Outputs of similar age from BMC Nephrology
#52
of 69 outputs
Altmetric has tracked 23,538,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,538 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 11th percentile – i.e., 11% 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 443,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.