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Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression

Overview of attention for article published in Frontiers in Genetics, May 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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7 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression
Published in
Frontiers in Genetics, May 2019
DOI 10.3389/fgene.2019.00468
Pubmed ID
Authors

Christina Y. Yu, Shunian Xiang, Zhi Huang, Travis S. Johnson, Xiaohui Zhan, Zhi Han, Mohammad Abu Zaid, Kun Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Other 2 11%
Student > Postgraduate 2 11%
Student > Master 2 11%
Student > Bachelor 1 5%
Other 2 11%
Unknown 7 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Medicine and Dentistry 4 21%
Agricultural and Biological Sciences 3 16%
Immunology and Microbiology 1 5%
Engineering 1 5%
Other 0 0%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 May 2019.
All research outputs
#14,449,295
of 23,148,322 outputs
Outputs from Frontiers in Genetics
#4,017
of 12,189 outputs
Outputs of similar age
#193,362
of 351,547 outputs
Outputs of similar age from Frontiers in Genetics
#142
of 290 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,189 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 351,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.