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 |
Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment
|
|---|---|
| Published in |
IEEE Transactions on Geoscience and Remote Sensing, October 2021
|
| DOI | 10.1109/tgrs.2021.3114635 |
| Authors |
Kiana Zolfaghari, Nima Pahlevan, Caren Binding, Daniela Gurlin, Stefan G.H. Simis, Antonio Ruiz Verdú, Lin Li, Christopher J. Crawford, Andrea Vanderwoude, Reagan Errera, Arthur Zastepa, Claude R. Duguay |
X Demographics
The data shown below were collected from the profiles of 31 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 | 19% |
| Canada | 4 | 13% |
| Germany | 3 | 10% |
| Belize | 1 | 3% |
| South Africa | 1 | 3% |
| Italy | 1 | 3% |
| India | 1 | 3% |
| United Kingdom | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 61% |
| Scientists | 12 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Unspecified | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 25 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 6 | 14% |
| Earth and Planetary Sciences | 6 | 14% |
| Physics and Astronomy | 2 | 5% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 26 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 28 May 2022.
All research outputs
#1,873,509
of 25,392,582 outputs
Outputs from IEEE Transactions on Geoscience and Remote Sensing
#32
of 3,057 outputs
Outputs of similar age
#43,038
of 437,712 outputs
Outputs of similar age from IEEE Transactions on Geoscience and Remote Sensing
#3
of 70 outputs
Altmetric has tracked 25,392,582 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 3,057 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 99% 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 437,712 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 90% of its contemporaries.
We're also able to compare this research output to 70 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 95% of its contemporaries.