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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
|
|---|---|
| Published in |
Remote Sensing, March 2018
|
| DOI | 10.3390/rs10030460 |
| Authors |
Samuel Hislop, Simon Jones, Mariela Soto-Berelov, Andrew Skidmore, Andrew Haywood, Trung H. Nguyen |
X Demographics
The data shown below were collected from the profiles of 25 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 | 5 | 20% |
| Colombia | 2 | 8% |
| Spain | 2 | 8% |
| Germany | 1 | 4% |
| Canada | 1 | 4% |
| Chile | 1 | 4% |
| Unknown | 13 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 80% |
| Scientists | 4 | 16% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 40 | 20% |
| Student > Ph. D. Student | 30 | 15% |
| Researcher | 24 | 12% |
| Student > Doctoral Student | 12 | 6% |
| Student > Bachelor | 12 | 6% |
| Other | 29 | 15% |
| Unknown | 52 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 56 | 28% |
| Earth and Planetary Sciences | 34 | 17% |
| Agricultural and Biological Sciences | 12 | 6% |
| Engineering | 10 | 5% |
| Computer Science | 6 | 3% |
| Other | 12 | 6% |
| Unknown | 69 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 November 2019.
All research outputs
#2,023,650
of 23,036,991 outputs
Outputs from Remote Sensing
#587
of 11,460 outputs
Outputs of similar age
#46,579
of 333,794 outputs
Outputs of similar age from Remote Sensing
#18
of 258 outputs
Altmetric has tracked 23,036,991 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 11,460 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 94% 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 333,794 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 258 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 93% of its contemporaries.