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Identification of co-expression network correlated with different periods of adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA)

Overview of attention for article published in BMC Genomics, April 2021
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Mentioned by

twitter
3 tweeters

Readers on

mendeley
6 Mendeley
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Title
Identification of co-expression network correlated with different periods of adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA)
Published in
BMC Genomics, April 2021
DOI 10.1186/s12864-021-07584-4
Pubmed ID
Authors

Yu Liu, Markus Tingart, Sophie Lecouturier, Jianzhang Li, Jörg Eschweiler

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Medicine and Dentistry 2 33%
Unknown 2 33%

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 12 April 2021.
All research outputs
#14,668,199
of 19,044,106 outputs
Outputs from BMC Genomics
#6,788
of 9,699 outputs
Outputs of similar age
#221,754
of 326,203 outputs
Outputs of similar age from BMC Genomics
#2
of 2 outputs
Altmetric has tracked 19,044,106 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,699 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 24th percentile – i.e., 24% 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 326,203 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.