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A transcriptional landscape of 28 porcine tissues obtained by super deepSAGE sequencing

Overview of attention for article published in BMC Genomics, March 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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4 X users

Citations

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5 Dimensions

Readers on

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3 Mendeley
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Title
A transcriptional landscape of 28 porcine tissues obtained by super deepSAGE sequencing
Published in
BMC Genomics, March 2020
DOI 10.1186/s12864-020-6628-7
Pubmed ID
Authors

Tinghua Huang, Min Yang, Kaihui Dong, Mingjiang Xu, Jinhui Liu, Zhi Chen, Shijia Zhu, Wang Chen, Jun Yin, Kai Jin, Yu Deng, Zhou Guan, Xiali Huang, Jun Yang, Rongxun Han, Min Yao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Unknown 1 33%
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 17 March 2020.
All research outputs
#15,073,879
of 23,198,445 outputs
Outputs from BMC Genomics
#6,175
of 10,722 outputs
Outputs of similar age
#213,747
of 365,345 outputs
Outputs of similar age from BMC Genomics
#89
of 192 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,722 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 365,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.