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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches
|
---|---|
Published in |
Remote Sensing of Environment, September 2024
|
DOI | 10.1016/j.rse.2024.114276 |
Authors |
Benjamin Dechant, Jens Kattge, Ryan Pavlick, Fabian D. Schneider, Francesco M. Sabatini, Álvaro Moreno-Martínez, Ethan E. Butler, Peter M. van Bodegom, Helena Vallicrosa, Teja Kattenborn, Coline C.F. Boonman, Nima Madani, Ian J. Wright, Ning Dong, Hannes Feilhauer, Josep Peñuelas, Jordi Sardans, Jesús Aguirre-Gutiérrez, Peter B. Reich, Pedro J. Leitão, Jeannine Cavender-Bares, Isla H. Myers-Smith, Sandra M. Durán, Holly Croft, I. Colin Prentice, Andreas Huth, Karin Rebel, Sönke Zaehle, Irena Šímová, Sandra Díaz, Markus Reichstein, Christopher Schiller, Helge Bruelheide, Miguel Mahecha, Christian Wirth, Yadvinder Malhi, Philip A. Townsend |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 22% |
Germany | 3 | 9% |
Australia | 2 | 6% |
Sri Lanka | 1 | 3% |
Korea, Republic of | 1 | 3% |
Unknown | 18 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 56% |
Members of the public | 14 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 26% |
Student > Ph. D. Student | 5 | 14% |
Student > Postgraduate | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 6 | 17% |
Unknown | 8 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 14 | 40% |
Agricultural and Biological Sciences | 8 | 23% |
Earth and Planetary Sciences | 3 | 9% |
Unknown | 10 | 29% |
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 28 July 2024.
All research outputs
#2,185,309
of 26,561,175 outputs
Outputs from Remote Sensing of Environment
#478
of 3,895 outputs
Outputs of similar age
#10,599
of 133,957 outputs
Outputs of similar age from Remote Sensing of Environment
#4
of 37 outputs
Altmetric has tracked 26,561,175 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 3,895 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 87% 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 133,957 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 92% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.