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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
|
|---|---|
| Published in |
International Journal of Digital Earth, January 2017
|
| DOI | 10.1080/17538947.2016.1267269 |
| Authors |
Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Adam Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh Rao, Richard Massey |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 92 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 17% |
| Researcher | 16 | 17% |
| Student > Master | 10 | 11% |
| Lecturer | 5 | 5% |
| Student > Bachelor | 5 | 5% |
| Other | 17 | 18% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 15 | 16% |
| Agricultural and Biological Sciences | 13 | 14% |
| Earth and Planetary Sciences | 11 | 12% |
| Computer Science | 7 | 8% |
| Engineering | 6 | 6% |
| Other | 8 | 9% |
| Unknown | 33 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 November 2017.
All research outputs
#14,311,050
of 22,931,367 outputs
Outputs from International Journal of Digital Earth
#155
of 248 outputs
Outputs of similar age
#229,269
of 420,293 outputs
Outputs of similar age from International Journal of Digital Earth
#6
of 8 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 420,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.