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Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding

Overview of attention for article published in Genetic Resources and Crop Evolution, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 770)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
87 Mendeley
Title
Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding
Published in
Genetic Resources and Crop Evolution, February 2019
DOI 10.1007/s10722-019-00746-0
Pubmed ID
Authors

Bodo Raatz, Clare Mukankusi, Juan David Lobaton, Alan Male, Virginia Chisale, Berhanu Amsalu, Deidré Fourie, Floride Mukamuhirwa, Kennedy Muimui, Bruce Mutari, Susan Nchimbi-Msolla, Stanley Nkalubo, Kidane Tumsa, Rowland Chirwa, Mywish K. Maredia, Chunlin He

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 17%
Researcher 13 15%
Student > Ph. D. Student 13 15%
Student > Doctoral Student 8 9%
Lecturer 3 3%
Other 9 10%
Unknown 26 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 48%
Biochemistry, Genetics and Molecular Biology 6 7%
Social Sciences 2 2%
Economics, Econometrics and Finance 2 2%
Business, Management and Accounting 1 1%
Other 6 7%
Unknown 28 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 21 January 2021.
All research outputs
#2,062,457
of 24,226,848 outputs
Outputs from Genetic Resources and Crop Evolution
#28
of 770 outputs
Outputs of similar age
#47,396
of 357,098 outputs
Outputs of similar age from Genetic Resources and Crop Evolution
#2
of 21 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 770 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 96% 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 357,098 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 86% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.