You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin
|
|---|---|
| Published in |
Journal of Big Data, June 2023
|
| DOI | 10.1186/s40537-023-00770-z |
| Authors |
Antonio Manuel Burgueño, José F. Aldana-Martín, María Vázquez-Pendón, Cristóbal Barba-González, Yaiza Jiménez Gómez, Virginia García Millán, Ismael Navas-Delgado |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 36% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Student > Master | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Librarian | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 10% |
| Engineering | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 13 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 08 January 2024.
All research outputs
#1,501,040
of 24,990,015 outputs
Outputs from Journal of Big Data
#37
of 376 outputs
Outputs of similar age
#28,855
of 371,763 outputs
Outputs of similar age from Journal of Big Data
#1
of 12 outputs
Altmetric has tracked 24,990,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 90% 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 371,763 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 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.