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Molecular characterization of Indian pathotypes of Puccinia striiformis f. sp. tritici and multigene phylogenetic analysis to establish inter- and intraspecific relationships

Overview of attention for article published in Genetics and Molecular Biology, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users

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mendeley
19 Mendeley
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Title
Molecular characterization of Indian pathotypes of Puccinia striiformis f. sp. tritici and multigene phylogenetic analysis to establish inter- and intraspecific relationships
Published in
Genetics and Molecular Biology, December 2018
DOI 10.1590/1678-4685-gmb-2017-0171
Pubmed ID
Authors

Rashmi Aggarwal, Deepika Kulshreshtha, Sapna Sharma, Vaibhav K. Singh, Channappa Manjunatha, Subhash C. Bhardwaj, Mahender S. Saharan

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Bachelor 3 16%
Professor 2 11%
Student > Master 2 11%
Researcher 1 5%
Other 0 0%
Unknown 4 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 53%
Biochemistry, Genetics and Molecular Biology 4 21%
Unknown 5 26%
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 04 October 2018.
All research outputs
#15,745,807
of 25,385,509 outputs
Outputs from Genetics and Molecular Biology
#331
of 772 outputs
Outputs of similar age
#245,235
of 445,442 outputs
Outputs of similar age from Genetics and Molecular Biology
#8
of 25 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 55% 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 445,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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 68% of its contemporaries.