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Attention Score in Context
Title |
Reliable numerical treatment with Adams and BDF methods for plant virus propagation model by vector with impact of time lag and density
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Published in |
Frontiers in Applied Mathematics and Statistics, November 2022
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DOI | 10.3389/fams.2022.1001392 |
Authors |
Nabeela Anwar, Shafaq Naz, Muhammad Shoaib |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
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 08 November 2022.
All research outputs
#20,498,776
of 23,063,209 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#266
of 343 outputs
Outputs of similar age
#350,207
of 440,832 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#8
of 13 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 343 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 440,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.