↓ Skip to main content

Bioinformatics methods in biomarkers of preeclampsia and associated potential drug applications

Overview of attention for article published in BMC Genomics, October 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
20 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
Bioinformatics methods in biomarkers of preeclampsia and associated potential drug applications
Published in
BMC Genomics, October 2022
DOI 10.1186/s12864-022-08937-3
Pubmed ID
Authors

Ying Peng, Hui Hong, Na Gao, An Wan, Yuyan Ma

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Other 1 5%
Student > Ph. D. Student 1 5%
Student > Master 1 5%
Other 2 10%
Unknown 11 55%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Nursing and Health Professions 2 10%
Agricultural and Biological Sciences 2 10%
Environmental Science 1 5%
Unknown 11 55%
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 02 November 2022.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from BMC Genomics
#9,325
of 10,696 outputs
Outputs of similar age
#350,795
of 442,024 outputs
Outputs of similar age from BMC Genomics
#109
of 125 outputs
Altmetric has tracked 23,025,074 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 10,696 research outputs from this source. They receive a mean Attention Score of 4.7. 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 442,024 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 125 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.