| Title |
Evaluating the treatment effectiveness of copper-based algaecides on toxic algae Microcystis aeruginosa using single cell-inductively coupled plasma-mass spectrometry
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, June 2019
|
| DOI | 10.1007/s00216-019-01933-9 |
| Pubmed ID | |
| Authors |
Xing Shen, Haiting Zhang, Xiaolong He, Honglan Shi, Chady Stephan, Hua Jiang, Cuihong Wan, Todd Eichholz |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Researcher | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 24 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 23 | 33% |
| Environmental Science | 9 | 13% |
| Agricultural and Biological Sciences | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Materials Science | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 26 | 37% |
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 09 August 2019.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,267
of 9,619 outputs
Outputs of similar age
#222,088
of 367,925 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#76
of 201 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 41st percentile – i.e., 41% 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 367,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.