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 |
Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony
|
|---|---|
| Published in |
Remote Sensing, February 2020
|
| DOI | 10.3390/rs12040725 |
| Authors |
Neal J. Pastick, Devendra Dahal, Bruce K. Wylie, Sujan Parajuli, Stephen P. Boyte, Zhouting Wu |
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 | 6 | 60% |
| Russia | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 20% |
| Student > Ph. D. Student | 15 | 19% |
| Researcher | 7 | 9% |
| Other | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 21% |
| Environmental Science | 10 | 12% |
| Earth and Planetary Sciences | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 36 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 06 May 2022.
All research outputs
#2,783,825
of 23,711,673 outputs
Outputs from Remote Sensing
#877
of 11,927 outputs
Outputs of similar age
#61,715
of 363,367 outputs
Outputs of similar age from Remote Sensing
#42
of 635 outputs
Altmetric has tracked 23,711,673 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,927 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% 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 363,367 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 82% of its contemporaries.
We're also able to compare this research output to 635 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.