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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A New Approach to Evaluate and Reduce Uncertainty of Model-Based Biodiversity Projections for Conservation Policy Formulation
|
|---|---|
| Published in |
BioScience, October 2021
|
| DOI | 10.1093/biosci/biab094 |
| Authors |
Bonnie J E Myers, Sarah R Weiskopf, Alexey N Shiklomanov, Simon Ferrier, Ensheng Weng, Kimberly A Casey, Mike Harfoot, Stephen T Jackson, Allison K Leidner, Timothy M Lenton, Gordon Luikart, Hiroyuki Matsuda, Nathalie Pettorelli, Isabel M D Rosa, Alex C Ruane, Gabriel B Senay, Shawn P Serbin, Derek P Tittensor, T Douglas Beard |
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 | 3 | 33% |
| Canada | 2 | 22% |
| United Kingdom | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 25% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 25% |
| Environmental Science | 5 | 21% |
| Social Sciences | 2 | 8% |
| Mathematics | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 February 2023.
All research outputs
#8,042,234
of 25,918,104 outputs
Outputs from BioScience
#1,511
of 2,632 outputs
Outputs of similar age
#149,290
of 440,519 outputs
Outputs of similar age from BioScience
#25
of 32 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,632 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.9. This one is in the 42nd percentile – i.e., 42% 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 440,519 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 65% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.