You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using natural history to guide supervised machine learning for cryptic species delimitation with genetic data
|
|---|---|
| Published in |
Frontiers in Zoology, February 2022
|
| DOI | 10.1186/s12983-022-00453-0 |
| Pubmed ID | |
| Authors |
Shahan Derkarabetian, James Starrett, Marshal Hedin |
X Demographics
The data shown below were collected from the profiles of 30 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 | 6 | 20% |
| United Kingdom | 5 | 17% |
| Canada | 2 | 7% |
| Taiwan | 1 | 3% |
| Colombia | 1 | 3% |
| Mexico | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 13 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 60% |
| Scientists | 11 | 37% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Researcher | 8 | 20% |
| Student > Master | 5 | 13% |
| Student > Doctoral Student | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 43% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Environmental Science | 4 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 27 February 2022.
All research outputs
#1,902,470
of 25,381,384 outputs
Outputs from Frontiers in Zoology
#114
of 695 outputs
Outputs of similar age
#44,512
of 439,521 outputs
Outputs of similar age from Frontiers in Zoology
#3
of 12 outputs
Altmetric has tracked 25,381,384 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 83% 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 439,521 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 89% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.