| Title |
A unified vegetation index for quantifying the terrestrial biosphere
|
|---|---|
| Published in |
Science Advances, February 2021
|
| DOI | 10.1126/sciadv.abc7447 |
| Pubmed ID | |
| Authors |
Gustau Camps-Valls, Manuel Campos-Taberner, Álvaro Moreno-Martínez, Sophia Walther, Grégory Duveiller, Alessandro Cescatti, Miguel D. Mahecha, Jordi Muñoz-Marí, Francisco Javier García-Haro, Luis Guanter, Martin Jung, John A. Gamon, Markus Reichstein, Steven W. Running |
X Demographics
The data shown below were collected from the profiles of 175 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 9% |
| Germany | 9 | 5% |
| United Kingdom | 7 | 4% |
| Spain | 5 | 3% |
| France | 5 | 3% |
| Mexico | 5 | 3% |
| Netherlands | 4 | 2% |
| Argentina | 4 | 2% |
| India | 3 | 2% |
| Other | 56 | 32% |
| Unknown | 62 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 104 | 59% |
| Scientists | 69 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 402 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 402 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 18% |
| Student > Ph. D. Student | 69 | 17% |
| Student > Master | 35 | 9% |
| Student > Bachelor | 19 | 5% |
| Student > Doctoral Student | 14 | 3% |
| Other | 56 | 14% |
| Unknown | 138 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 75 | 19% |
| Earth and Planetary Sciences | 59 | 15% |
| Agricultural and Biological Sciences | 40 | 10% |
| Unspecified | 7 | 2% |
| Medicine and Dentistry | 6 | 1% |
| Other | 39 | 10% |
| Unknown | 176 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 132. 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 18 May 2023.
All research outputs
#320,833
of 25,738,558 outputs
Outputs from Science Advances
#2,473
of 12,492 outputs
Outputs of similar age
#9,736
of 453,602 outputs
Outputs of similar age from Science Advances
#105
of 517 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.9. This one has done well, scoring higher than 80% 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 453,602 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 97% of its contemporaries.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.