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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A latent process model approach to improve the utility of indicator species
|
|---|---|
| Published in |
Oikos, October 2020
|
| DOI | 10.1111/oik.07334 |
| Authors |
Jill Fleming, Chris Sutherland, Sean C. Sterrett, Evan H. Campbell Grant |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Philippines | 1 | 8% |
| Samoa | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Professor > Associate Professor | 4 | 13% |
| Student > Master | 4 | 13% |
| Other | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 43% |
| Environmental Science | 4 | 13% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 10 October 2020.
All research outputs
#4,357,235
of 24,211,034 outputs
Outputs from Oikos
#965
of 3,157 outputs
Outputs of similar age
#103,194
of 419,371 outputs
Outputs of similar age from Oikos
#29
of 38 outputs
Altmetric has tracked 24,211,034 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,157 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 69% 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 419,371 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 75% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.