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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
|
|---|---|
| Published in |
Remote Sensing of Environment, April 2011
|
| DOI | 10.1016/j.rse.2010.12.010 |
| Authors |
Jin Chen, Xiaolin Zhu, James E. Vogelmann, Feng Gao, Suming Jin |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Switzerland | 1 | 10% |
| Italy | 1 | 10% |
| Colombia | 1 | 10% |
| Spain | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 482 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 1% |
| Brazil | 4 | <1% |
| Germany | 2 | <1% |
| Japan | 2 | <1% |
| Colombia | 2 | <1% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Other | 6 | 1% |
| Unknown | 456 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 104 | 22% |
| Student > Master | 102 | 21% |
| Researcher | 85 | 18% |
| Student > Bachelor | 28 | 6% |
| Student > Doctoral Student | 22 | 5% |
| Other | 69 | 14% |
| Unknown | 72 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 136 | 28% |
| Environmental Science | 122 | 25% |
| Agricultural and Biological Sciences | 46 | 10% |
| Engineering | 35 | 7% |
| Computer Science | 13 | 3% |
| Other | 32 | 7% |
| Unknown | 98 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 20 February 2024.
All research outputs
#2,016,891
of 26,017,215 outputs
Outputs from Remote Sensing of Environment
#449
of 4,359 outputs
Outputs of similar age
#8,458
of 124,777 outputs
Outputs of similar age from Remote Sensing of Environment
#1
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 88% 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 124,777 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them