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Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization

Overview of attention for article published in BMC Bioinformatics, August 2019
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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11 Mendeley
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Title
Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization
Published in
BMC Bioinformatics, August 2019
DOI 10.1186/s12859-019-3003-2
Pubmed ID
Authors

Yongchun Lü, Xiangrui Zeng, Xiaofang Zhao, Shirui Li, Hua Li, Xin Gao, Min Xu

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Other 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Psychology 1 9%
Computer Science 1 9%
Immunology and Microbiology 1 9%
Engineering 1 9%
Other 0 0%
Unknown 5 45%
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 29 August 2019.
All research outputs
#18,687,756
of 23,154,520 outputs
Outputs from BMC Bioinformatics
#6,376
of 7,341 outputs
Outputs of similar age
#253,812
of 340,585 outputs
Outputs of similar age from BMC Bioinformatics
#94
of 97 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 340,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 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.