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GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage

Overview of attention for article published in BMC Plant Biology, September 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
13 Mendeley
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Title
GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage
Published in
BMC Plant Biology, September 2021
DOI 10.1186/s12870-021-03219-8
Pubmed ID
Authors

Xiumei Min, Hailong Xu, Fenglian Huang, Yidong Wei, Wenxiong Lin, Zhixing Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 8%
Unspecified 1 8%
Student > Ph. D. Student 1 8%
Lecturer 1 8%
Student > Postgraduate 1 8%
Other 1 8%
Unknown 7 54%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Unspecified 1 8%
Chemistry 1 8%
Unknown 7 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 January 2024.
All research outputs
#8,487,737
of 25,323,244 outputs
Outputs from BMC Plant Biology
#710
of 3,576 outputs
Outputs of similar age
#159,653
of 428,474 outputs
Outputs of similar age from BMC Plant Biology
#19
of 97 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,576 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 74% 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 428,474 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 59% of its contemporaries.
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 has done well, scoring higher than 80% of its contemporaries.