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Predictive genotype-phenotype relations using genetic diversity in African yam bean (Sphenostylis stenocarpa (Hochst. ex. A. Rich) Harms)

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Predictive genotype-phenotype relations using genetic diversity in African yam bean (Sphenostylis stenocarpa (Hochst. ex. A. Rich) Harms)
Published in
BMC Plant Biology, November 2021
DOI 10.1186/s12870-021-03302-0
Pubmed ID
Authors

Ademola Aina, Ana Luísa Garcia-Oliveira, Christopher Ilori, Peter L. Chang, Muyideen Yusuf, Olaniyi Oyatomi, Michael Abberton, Daniel Potter

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 25%
Unspecified 1 13%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Arts and Humanities 2 25%
Agricultural and Biological Sciences 2 25%
Unspecified 1 13%
Social Sciences 1 13%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 December 2021.
All research outputs
#2,857,736
of 21,346,872 outputs
Outputs from BMC Plant Biology
#163
of 3,005 outputs
Outputs of similar age
#82,758
of 464,375 outputs
Outputs of similar age from BMC Plant Biology
#20
of 384 outputs
Altmetric has tracked 21,346,872 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,005 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 94% 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 464,375 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.