| Title |
Population genomic and evolutionary modelling analyses reveal a single major QTL for ivermectin drug resistance in the pathogenic nematode, Haemonchus contortus
|
|---|---|
| Published in |
BMC Genomics, March 2019
|
| DOI | 10.1186/s12864-019-5592-6 |
| Pubmed ID | |
| Authors |
Stephen R. Doyle, Christopher J. R. Illingworth, Roz Laing, David J. Bartley, Elizabeth Redman, Axel Martinelli, Nancy Holroyd, Alison A. Morrison, Andrew Rezansoff, Alan Tracey, Eileen Devaney, Matthew Berriman, Neil Sargison, James A. Cotton, John S. Gilleard |
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 Kingdom | 8 | 27% |
| Canada | 4 | 13% |
| Belgium | 2 | 7% |
| France | 1 | 3% |
| Ghana | 1 | 3% |
| India | 1 | 3% |
| Australia | 1 | 3% |
| Iran, Islamic Republic of | 1 | 3% |
| New Zealand | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 50% |
| Scientists | 14 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 21 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 16% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Veterinary Science and Veterinary Medicine | 11 | 14% |
| Immunology and Microbiology | 6 | 8% |
| Nursing and Health Professions | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 October 2019.
All research outputs
#1,589,551
of 24,395,432 outputs
Outputs from BMC Genomics
#324
of 10,970 outputs
Outputs of similar age
#36,844
of 356,360 outputs
Outputs of similar age from BMC Genomics
#11
of 200 outputs
Altmetric has tracked 24,395,432 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,970 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 356,360 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 200 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.