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Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping

Overview of attention for article published in Theoretical & Applied Genetics, June 2019
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
27 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
26 Mendeley
Title
Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping
Published in
Theoretical & Applied Genetics, June 2019
DOI 10.1007/s00122-019-03382-5
Pubmed ID
Authors

Saarah Kuzay, Yunfeng Xu, Junli Zhang, Andrew Katz, Stephen Pearce, Zhenqi Su, Max Fraser, James A. Anderson, Gina Brown-Guedira, Noah DeWitt, Amanda Peters Haugrud, Justin D. Faris, Eduard Akhunov, Guihua Bai, Jorge Dubcovsky

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 42%
Student > Master 3 12%
Professor 3 12%
Student > Bachelor 3 12%
Other 2 8%
Other 1 4%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 69%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 2 8%
Unspecified 1 4%
Unknown 3 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 January 2020.
All research outputs
#959,107
of 14,155,721 outputs
Outputs from Theoretical & Applied Genetics
#68
of 2,262 outputs
Outputs of similar age
#29,018
of 255,490 outputs
Outputs of similar age from Theoretical & Applied Genetics
#4
of 54 outputs
Altmetric has tracked 14,155,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,262 research outputs from this source. They receive a mean Attention Score of 4.5. 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 255,490 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 88% of its contemporaries.
We're also able to compare this research output to 54 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 92% of its contemporaries.