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Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome

Overview of attention for article published in Genome Biology, April 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
31 X users
facebook
1 Facebook page

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
154 Mendeley
Title
Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome
Published in
Genome Biology, April 2019
DOI 10.1186/s13059-019-1660-0
Pubmed ID
Authors

Kristen A. Panfilio, Iris M. Vargas Jentzsch, Joshua B. Benoit, Deniz Erezyilmaz, Yuichiro Suzuki, Stefano Colella, Hugh M. Robertson, Monica F. Poelchau, Robert M. Waterhouse, Panagiotis Ioannidis, Matthew T. Weirauch, Daniel S. T. Hughes, Shwetha C. Murali, John H. Werren, Chris G. C. Jacobs, Elizabeth J. Duncan, David Armisén, Barbara M. I. Vreede, Patrice Baa-Puyoulet, Chloé S. Berger, Chun-che Chang, Hsu Chao, Mei-Ju M. Chen, Yen-Ta Chen, Christopher P. Childers, Ariel D. Chipman, Andrew G. Cridge, Antonin J. J. Crumière, Peter K. Dearden, Elise M. Didion, Huyen Dinh, Harsha Vardhan Doddapaneni, Amanda Dolan, Shannon Dugan, Cassandra G. Extavour, Gérard Febvay, Markus Friedrich, Neta Ginzburg, Yi Han, Peter Heger, Christopher J. Holmes, Thorsten Horn, Yi-min Hsiao, Emily C. Jennings, J. Spencer Johnston, Tamsin E. Jones, Jeffery W. Jones, Abderrahman Khila, Stefan Koelzer, Viera Kovacova, Megan Leask, Sandra L. Lee, Chien-Yueh Lee, Mackenzie R. Lovegrove, Hsiao-ling Lu, Yong Lu, Patricia J. Moore, Monica C. Munoz-Torres, Donna M. Muzny, Subba R. Palli, Nicolas Parisot, Leslie Pick, Megan L. Porter, Jiaxin Qu, Peter N. Refki, Rose Richter, Rolando Rivera-Pomar, Andrew J. Rosendale, Siegfried Roth, Lena Sachs, M. Emília Santos, Jan Seibert, Essia Sghaier, Jayendra N. Shukla, Richard J. Stancliffe, Olivia Tidswell, Lucila Traverso, Maurijn van der Zee, Séverine Viala, Kim C. Worley, Evgeny M. Zdobnov, Richard A. Gibbs, Stephen Richards

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Researcher 22 14%
Student > Bachelor 17 11%
Student > Master 17 11%
Student > Doctoral Student 7 5%
Other 21 14%
Unknown 41 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 41%
Biochemistry, Genetics and Molecular Biology 33 21%
Computer Science 2 1%
Medicine and Dentistry 2 1%
Sports and Recreations 2 1%
Other 5 3%
Unknown 47 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 31 July 2019.
All research outputs
#654,741
of 25,893,933 outputs
Outputs from Genome Biology
#399
of 4,530 outputs
Outputs of similar age
#14,694
of 366,939 outputs
Outputs of similar age from Genome Biology
#15
of 58 outputs
Altmetric has tracked 25,893,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,530 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 91% 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 366,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.