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Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms

Overview of attention for article published in Frontiers in Genetics, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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3 X users

Citations

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20 Dimensions

Readers on

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21 Mendeley
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Title
Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms
Published in
Frontiers in Genetics, August 2022
DOI 10.3389/fgene.2022.897696
Pubmed ID
Authors

Muhammad Aasim, Ramazan Katirci, Faheem Shehzad Baloch, Zemran Mustafa, Allah Bakhsh, Muhammad Azhar Nadeem, Seyid Amjad Ali, Rüştü Hatipoğlu, Vahdettin Çiftçi, Ephrem Habyarimana, Tolga Karaköy, Yong Suk Chung

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Other 1 5%
Lecturer > Senior Lecturer 1 5%
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 12 57%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 14%
Biochemistry, Genetics and Molecular Biology 1 5%
Business, Management and Accounting 1 5%
Economics, Econometrics and Finance 1 5%
Unknown 15 71%
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 12 September 2022.
All research outputs
#14,273,152
of 23,317,888 outputs
Outputs from Frontiers in Genetics
#3,636
of 12,334 outputs
Outputs of similar age
#193,031
of 433,428 outputs
Outputs of similar age from Frontiers in Genetics
#177
of 1,113 outputs
Altmetric has tracked 23,317,888 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 12,334 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 433,428 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 53% of its contemporaries.
We're also able to compare this research output to 1,113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.