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Marker-Assisted Introgression of Multiple Resistance Genes Confers Broad Spectrum Resistance against Bacterial Leaf Blight and Blast Diseases in PUTRA-1 Rice Variety

Overview of attention for article published in Agronomy, December 2019
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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3 X users

Citations

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29 Dimensions

Readers on

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41 Mendeley
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Title
Marker-Assisted Introgression of Multiple Resistance Genes Confers Broad Spectrum Resistance against Bacterial Leaf Blight and Blast Diseases in PUTRA-1 Rice Variety
Published in
Agronomy, December 2019
DOI 10.3390/agronomy10010042
Authors

Samuel C. Chukwu, Mohd Y. Rafii, Shairul I. Ramlee, Siti I. Ismail, Yusuff Oladosu, Kazeem Kolapo, Ibrahim Musa, Jamilu Halidu, Isma’ila Muhammad, Muideen Ahmed

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

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 12%
Student > Ph. D. Student 5 12%
Researcher 5 12%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Other 4 10%
Unknown 15 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 51%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 1 2%
Unspecified 1 2%
Unknown 16 39%
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 23 May 2022.
All research outputs
#14,404,679
of 23,184,056 outputs
Outputs from Agronomy
#1,416
of 3,972 outputs
Outputs of similar age
#243,309
of 457,715 outputs
Outputs of similar age from Agronomy
#105
of 294 outputs
Altmetric has tracked 23,184,056 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 3,972 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 63% 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 457,715 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 294 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 63% of its contemporaries.