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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plant size, latitude, and phylogeny explain within-population variability in herbivory
|
|---|---|
| Published in |
Science, November 2023
|
| DOI | 10.1126/science.adh8830 |
| Pubmed ID | |
| Authors |
The Herbivory Variability Network*†, M. L. Robinson, P. G. Hahn, B. D. Inouye, N. Underwood, S. R. Whitehead, K. C. Abbott, E. M. Bruna, N. I. Cacho, L. A. Dyer, L. Abdala-Roberts, W. J. Allen, J. F. Andrade, D. F. Angulo, D. Anjos, D. N. Anstett, R. Bagchi, S. Bagchi, M. Barbosa, S. Barrett, C. A. Baskett, E. Ben-Simchon, K. J. Bloodworth, J. L. Bronstein, Y. M. Buckley, K. T. Burghardt, C. Bustos-Segura, E. S. Calixto, R. L. Carvalho, B. Castagneyrol, M. C. Chiuffo, D. Cinoğlu, E. Cinto Mejía, M. C. Cock, R. Cogni, O. L. Cope, T. Cornelissen, D. R. Cortez, D. W. Crowder, C. Dallstream, W. Dáttilo, J. K. Davis, R. D. Dimarco, H. E. Dole, I. N. Egbon, M. Eisenring, A. Ejomah, B. D. Elderd, M.-J. Endara, M. D. Eubanks, S. E. Everingham, K. N. Farah, R. P. Farias, A. P. Fernandes, G. W. Fernandes, M. Ferrante, A. Finn, G. A. Florjancic, M. L. Forister, Q. N. Fox, E. Frago, F. M. França, A. S. Getman-Pickering, Z. Getman-Pickering, E. Gianoli, B. Gooden, M. M. Gossner, K. A. Greig, S. Gripenberg, R. Groenteman, P. Grof-Tisza, N. Haack, L. Hahn, S. M. Haq, A. M. Helms, J. Hennecke, S. L. Hermann, L. M. Holeski, S. Holm, M. C. Hutchinson, E. E. Jackson, S. Kagiya, A. Kalske, M. Kalwajtys, R. Karban, R. Kariyat, T. Keasar, M. F. Kersch-Becker, H. M. Kharouba, T. N. Kim, D. M. Kimuyu, J. Kluse, S. E. Koerner, K. J. Komatsu, S. Krishnan, M. Laihonen, L. Lamelas-López, M. C. LaScaleia, N. Lecomte, C. R. Lehn, X. Li, R. L. Lindroth, E. F. LoPresti, M. Losada, A. M. Louthan, V. J. Luizzi, S. C. Lynch, J. S. Lynn, N. J. Lyon, L. F. Maia, R. A. Maia, T. L. Mannall, B. S. Martin, T. J. Massad, A. C. McCall, K. McGurrin, A. C. Merwin, Z. Mijango-Ramos, C. H. Mills, A. T. Moles, C. M. Moore, X. Moreira, C. R. Morrison, M. C. Moshobane, A. Muola, R. Nakadai, K. Nakajima, S. Novais, C. O. Ogbebor, H. Ohsaki, V. S. Pan, N. A. Pardikes, M. Pareja, N. Parthasarathy, R. R. Pawar, Q. Paynter, I. S. Pearse, R. M. Penczykowski, A. A. Pepi, C. C. Pereira, S. S. Phartyal, F. I. Piper, K. Poveda, E. G. Pringle, J. Puy, T. Quijano, C. Quintero, S. Rasmann, C. Rosche, L. Y. Rosenheim, J. A. Rosenheim, J. B. Runyon, A. Sadeh, Y. Sakata, D. M. Salcido, C. Salgado-Luarte, B. A. Santos, Y. Sapir, Y. Sasal, Y. Sato, M. Sawant, H. Schroeder, I. Schumann, M. Segoli, H. Segre, O. Shelef, N. Shinohara, R. P. Singh, D. S. Smith, M. Sobral, G. C. Stotz, A. J. M. Tack, M. Tayal, J. F. Tooker, D. Torrico-Bazoberry, K. Tougeron, A. M. Trowbridge, S. Utsumi, O. Uyi, J. L. Vaca-Uribe, A. Valtonen, L. J. A. van Dijk, V. Vandvik, J. Villellas, L. P. Waller, M. G. Weber, A. Yamawo, S. Yim, P. L. Zarnetske, L. N. Zehr, Z. Zhong, W. C. Wetzel |
| Abstract |
Interactions between plants and herbivores are central in most ecosystems, but their strength is highly variable. The amount of variability within a system is thought to influence most aspects of plant-herbivore biology, from ecological stability to plant defense evolution. Our understanding of what influences variability, however, is limited by sparse data. We collected standardized surveys of herbivory for 503 plant species at 790 sites across 116° of latitude. With these data, we show that within-population variability in herbivory increases with latitude, decreases with plant size, and is phylogenetically structured. Differences in the magnitude of variability are thus central to how plant-herbivore biology varies across macroscale gradients. We argue that increased focus on interaction variability will advance understanding of patterns of life on Earth. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 7% |
| United Kingdom | 4 | 2% |
| India | 3 | 2% |
| Brazil | 3 | 2% |
| Sweden | 2 | 1% |
| Israel | 1 | <1% |
| Japan | 1 | <1% |
| New Zealand | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 155 | 81% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 110 | 58% |
| Scientists | 75 | 39% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Master | 5 | 8% |
| Other | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 20% |
| Environmental Science | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Unspecified | 2 | 3% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 30 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 168. 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 28 June 2024.
All research outputs
#256,215
of 26,441,283 outputs
Outputs from Science
#6,997
of 84,018 outputs
Outputs of similar age
#4,511
of 374,704 outputs
Outputs of similar age from Science
#134
of 450 outputs
Altmetric has tracked 26,441,283 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 84,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.6. 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 374,704 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 98% of its contemporaries.
We're also able to compare this research output to 450 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 70% of its contemporaries.