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Transcriptome analysis for identifying possible causes of post-reproductive death of Sepia esculenta based on brain tissue

Overview of attention for article published in Genes & Genomics, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Transcriptome analysis for identifying possible causes of post-reproductive death of Sepia esculenta based on brain tissue
Published in
Genes & Genomics, April 2019
DOI 10.1007/s13258-019-00811-z
Pubmed ID
Authors

Jinyong Zhang, Muchun He, Zilong Xiang, Shufang Liu, ZhiMeng Zhuang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 %
Student > Master 2 40%
Other 1 20%
Student > Ph. D. Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 60%
Biochemistry, Genetics and Molecular Biology 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 December 2019.
All research outputs
#14,264,076
of 25,385,509 outputs
Outputs from Genes & Genomics
#64
of 661 outputs
Outputs of similar age
#173,326
of 364,587 outputs
Outputs of similar age from Genes & Genomics
#3
of 24 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 661 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done particularly well, scoring higher than 90% 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 364,587 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.