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Mendeley readers
Attention Score in Context
| Title |
ATLANTIC MAMMAL TRAITS: a data set of morphological traits of mammals in the Atlantic Forest of South America
|
|---|---|
| Published in |
Ecology, February 2018
|
| DOI | 10.1002/ecy.2106 |
| Pubmed ID | |
| Authors |
Fernando Gonçalves, Ricardo S. Bovendorp, Gabrielle Beca, Carolina Bello, Raul Costa‐Pereira, Renata L. Muylaert, Raisa R. Rodarte, Nacho Villar, Rafael Souza, Maurício E. Graipel, Jorge J. Cherem, Deborah Faria, Julio Baumgarten, Martín R. Alvarez, Emerson M. Vieira, Nilton Cáceres, Renata Pardini, Yuri L. R. Leite, Leonora P. Costa, Marco A. R. Mello, Erich Fischer, Fernando C. Passos, Luiz H. Varzinczak, Jayme A. Prevedello, Ariovaldo P. Cruz‐Neto, Fernando Carvalho, Alexandre R. Percequillo, Agustin Paviolo, Alessandra Nava, José M. B. Duarte, Noé U. de la Sancha, Enrico Bernard, Ronaldo G. Morato, Juliana F. Ribeiro, Rafael G. Becker, Gabriela Paise, Paulo S. Tomasi, Felipe Vélez‐Garcia, Geruza L. Melo, Jonas Sponchiado, Felipe Cerezer, Marília A. S. Barros, Albérico Q. S. de Souza, Cinthya C. dos Santos, Gastón A. F. Giné, Patricia Kerches‐Rogeri, Marcelo M. Weber, Guilherme Ambar, Lucía V. Cabrera‐Martinez, Alan Eriksson, Maurício Silveira, Carolina F. Santos, Lucas Alves, Eder Barbier, Gabriela C. Rezende, Guilherme S. T. Garbino, Élson O. Rios, Adna Silva, Alexandre Túlio A. Nascimento, Rodrigo S. de Carvalho, Anderson Feijó, Juan Arrabal, Ilaria Agostini, Daniela Lamattina, Sebastian Costa, Ezequiel Vanderhoeven, Fabiano R. de Melo, Plautino de Oliveira Laroque, Leandro Jerusalinsky, Mônica M. Valença‐Montenegro, Amely B. Martins, Gabriela Ludwig, Renata B. de Azevedo, Agustin Anzóategui, Marina X. da Silva, Marcela Figuerêdo Duarte Moraes, Alexandre Vogliotti, Andressa Gatti, Thomas Püttker, Camila S. Barros, Thais K. Martins, Alexine Keuroghlian, Donald P. Eaton, Carolina L. Neves, Marcelo S. Nardi, Caryne Braga, Pablo R. Gonçalves, Ana Carolina Srbek‐Araujo, Poliana Mendes, João A. de Oliveira, Fábio A. M. Soares, Patrício A. Rocha, Peter Crawshaw, Milton C. Ribeiro, Mauro Galetti |
| Abstract |
Measures of traits are the basis of functional biological diversity. Numerous works consider mean species-level measures of traits while ignoring individual variance within species. However, there is a large amount of variation within species and it is increasingly apparent that it is important to consider trait variation not only between species, but also within species. Mammals are an interesting group for investigating trait-based approaches because they play diverse and important ecological functions (e.g., pollination, seed dispersal, predation, grazing) that are correlated with functional traits. Here we compile a data set comprising morphological and life history information of 279 mammal species from 39,850 individuals of 388 populations ranging from -5.83 to -29.75 decimal degrees of latitude and -34.82 to -56.73 decimal degrees of longitude in the Atlantic forest of South America. We present trait information from 16,840 individuals of 181 species of non-volant mammals (Rodentia, Didelphimorphia, Carnivora, Primates, Cingulata, Artiodactyla, Pilosa, Lagomorpha, Perissodactyla) and from 23,010 individuals of 98 species of volant mammals (Chiroptera). The traits reported include body mass, age, sex, reproductive stage, as well as the geographic coordinates of sampling for all taxa. Moreover, we gathered information on forearm length for bats and body length and tail length for rodents and marsupials. No copyright restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 12 | 29% |
| United States | 7 | 17% |
| Spain | 4 | 10% |
| India | 2 | 5% |
| New Zealand | 2 | 5% |
| Netherlands | 1 | 2% |
| United Kingdom | 1 | 2% |
| Japan | 1 | 2% |
| Bahamas | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 7 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 52% |
| Scientists | 17 | 40% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 238 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 16% |
| Student > Bachelor | 33 | 14% |
| Researcher | 30 | 13% |
| Student > Master | 27 | 11% |
| Student > Doctoral Student | 20 | 8% |
| Other | 48 | 20% |
| Unknown | 42 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 103 | 43% |
| Environmental Science | 47 | 20% |
| Unspecified | 6 | 3% |
| Earth and Planetary Sciences | 4 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Other | 20 | 8% |
| Unknown | 54 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 26 May 2020.
All research outputs
#641,853
of 24,453,338 outputs
Outputs from Ecology
#244
of 6,815 outputs
Outputs of similar age
#15,916
of 445,940 outputs
Outputs of similar age from Ecology
#10
of 78 outputs
Altmetric has tracked 24,453,338 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 6,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. 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 445,940 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 96% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.