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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving the ability of a BACI design to detect impacts within a kelp‐forest community
|
|---|---|
| Published in |
Ecological Applications, March 2021
|
| DOI | 10.1002/eap.2304 |
| Pubmed ID | |
| Authors |
Andrew Rassweiler, Daniel K. Okamoto, Daniel C. Reed, David J. Kushner, Donna M. Schroeder, Kevin D. Lafferty |
X Demographics
The data shown below were collected from the profiles of 9 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 | 7 | 78% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 44% |
| Members of the public | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 31% |
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 3 | 9% |
| Student > Bachelor | 1 | 3% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 34% |
| Environmental Science | 10 | 31% |
| Computer Science | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Unknown | 9 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 March 2021.
All research outputs
#4,783,160
of 23,283,373 outputs
Outputs from Ecological Applications
#1,168
of 3,209 outputs
Outputs of similar age
#125,973
of 454,870 outputs
Outputs of similar age from Ecological Applications
#31
of 54 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 63% 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 454,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.