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Seedless mutant ‘Wuzi Ougan’ (Citrus suavissima Hort. ex Tanaka ‘seedless’) and the wild type were compared by iTRAQ-based quantitative proteomics and integratedly analyzed with transcriptome to…

Overview of attention for article published in BMC Genomic Data, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Seedless mutant ‘Wuzi Ougan’ (Citrus suavissima Hort. ex Tanaka ‘seedless’) and the wild type were compared by iTRAQ-based quantitative proteomics and integratedly analyzed with transcriptome to improve understanding of male sterility
Published in
BMC Genomic Data, November 2018
DOI 10.1186/s12863-018-0693-9
Pubmed ID
Authors

Chi Zhang, Dihu Yu, Fuzhi Ke, Mimi Zhu, Jianguo Xu, Min Zhang

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Doctoral Student 3 13%
Professor > Associate Professor 3 13%
Student > Master 2 8%
Student > Ph. D. Student 2 8%
Other 4 17%
Unknown 6 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 42%
Social Sciences 2 8%
Unspecified 1 4%
Computer Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 March 2022.
All research outputs
#7,963,683
of 25,385,509 outputs
Outputs from BMC Genomic Data
#283
of 1,204 outputs
Outputs of similar age
#152,092
of 446,142 outputs
Outputs of similar age from BMC Genomic Data
#6
of 15 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% 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 446,142 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 65% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.