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Building a sequence map of the pig pan-genome from multiple de novo assemblies and Hi-C data

Overview of attention for article published in Science China Life Sciences, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
55 Mendeley
Title
Building a sequence map of the pig pan-genome from multiple de novo assemblies and Hi-C data
Published in
Science China Life Sciences, July 2019
DOI 10.1007/s11427-019-9551-7
Pubmed ID
Authors

Xiaomeng Tian, Ran Li, Weiwei Fu, Yan Li, Xihong Wang, Ming Li, Duo Du, Qianzi Tang, Yudong Cai, Yiming Long, Yue Zhao, Mingzhou Li, Yu Jiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Unspecified 2 4%
Other 6 11%
Unknown 25 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Agricultural and Biological Sciences 10 18%
Unspecified 2 4%
Business, Management and Accounting 2 4%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 24 44%
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 11 October 2019.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from Science China Life Sciences
#441
of 1,042 outputs
Outputs of similar age
#191,745
of 348,040 outputs
Outputs of similar age from Science China Life Sciences
#4
of 21 outputs
Altmetric has tracked 23,577,654 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 1,042 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 56% 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 348,040 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 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.