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Identification of inflammatory-related gene signatures to predict prognosis of endometrial carcinoma

Overview of attention for article published in BMC Genomic Data, October 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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7 Mendeley
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Title
Identification of inflammatory-related gene signatures to predict prognosis of endometrial carcinoma
Published in
BMC Genomic Data, October 2022
DOI 10.1186/s12863-022-01088-0
Pubmed ID
Authors

Linlin Chen, Guang Zhu, Yanbo Liu, Yupei Shao, Bing Pan, Jianhong Zheng

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 43%
Unknown 4 57%
Readers by discipline Count As %
Unspecified 3 43%
Agricultural and Biological Sciences 1 14%
Unknown 3 43%
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 11 October 2022.
All research outputs
#20,886,375
of 23,507,888 outputs
Outputs from BMC Genomic Data
#84
of 110 outputs
Outputs of similar age
#353,197
of 442,273 outputs
Outputs of similar age from BMC Genomic Data
#8
of 9 outputs
Altmetric has tracked 23,507,888 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 110 research outputs from this source. They receive a mean Attention Score of 2.0. 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 442,273 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 9 others from the same source and published within six weeks on either side of this one.