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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Algorithmic approaches to aid species' delimitation in multidimensional morphospace
|
|---|---|
| Published in |
BMC Ecology and Evolution, June 2010
|
| DOI | 10.1186/1471-2148-10-175 |
| Pubmed ID | |
| Authors |
Thomas HG Ezard, Paul N Pearson, Andy Purvis |
| Abstract |
The species is a fundamental unit of biological pattern and process, but its delimitation has proven a ready source of argument and disagreement. Here, we discuss four key steps that utilize statistical thresholds to describe the morphological variability within a sample and hence assess whether there is evidence for one or multiple species. Once the initial set of biologically relevant traits on comparable individuals has been identified, there is no need for the investigator to hypothesise how specimens might be divided among groups, nor the traits on which groups might be separated. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 3 | 2% |
| Australia | 3 | 2% |
| United Kingdom | 3 | 2% |
| Argentina | 2 | 1% |
| Mexico | 2 | 1% |
| Germany | 1 | <1% |
| Hungary | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 145 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 30% |
| Student > Ph. D. Student | 35 | 21% |
| Student > Master | 17 | 10% |
| Student > Bachelor | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 33 | 19% |
| Unknown | 13 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 102 | 60% |
| Earth and Planetary Sciences | 28 | 16% |
| Environmental Science | 10 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Philosophy | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 19 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 November 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#94,260
of 104,347 outputs
Outputs of similar age from BMC Ecology and Evolution
#46
of 50 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 5th percentile – i.e., 5% 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 104,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.