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iMarmot: an integrative platform for comparative and functional genomics of marmots

Overview of attention for article published in BMC Genomics, March 2020
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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8 Mendeley
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Title
iMarmot: an integrative platform for comparative and functional genomics of marmots
Published in
BMC Genomics, March 2020
DOI 10.1186/s12864-020-6697-7
Pubmed ID
Authors

Baoning Liu, Liang Bai, Qingqing Yu, Fang Hu, Jing Wu, Sihai Zhao, Rong Wang, Weirong Wang, Yuanqing Tao, Jianglin Fan, Enqi Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Researcher 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Unknown 4 50%
Attention Score in Context

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 02 April 2020.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#318,848
of 372,340 outputs
Outputs of similar age from BMC Genomics
#126
of 159 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 372,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.