| Title |
Understanding the Emergence of Multidrug-Resistant Candida: Using Whole-Genome Sequencing to Describe the Population Structure of Candida haemulonii Species Complex
|
|---|---|
| Published in |
Frontiers in Genetics, June 2020
|
| DOI | 10.3389/fgene.2020.00554 |
| Pubmed ID | |
| Authors |
Lalitha Gade, Jose F. Muñoz, Mili Sheth, Darlene Wagner, Elizabeth L. Berkow, Kaitlin Forsberg, Brendan R. Jackson, Ruben Ramos-Castro, Patricia Escandón, Maribel Dolande, Ronen Ben-Ami, Andrés Espinosa-Bode, Diego H. Caceres, Shawn R. Lockhart, Christina A. Cuomo, Anastasia P. Litvintseva |
X Demographics
The data shown below were collected from the profiles of 19 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 | 7 | 37% |
| Netherlands | 1 | 5% |
| Switzerland | 1 | 5% |
| Thailand | 1 | 5% |
| United Kingdom | 1 | 5% |
| Singapore | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 58% |
| Members of the public | 7 | 37% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Bachelor | 5 | 12% |
| Unspecified | 4 | 10% |
| Student > Master | 4 | 10% |
| Professor | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 22% |
| Unspecified | 5 | 12% |
| Agricultural and Biological Sciences | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Immunology and Microbiology | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 11 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 July 2021.
All research outputs
#3,325,956
of 25,387,189 outputs
Outputs from Frontiers in Genetics
#915
of 13,655 outputs
Outputs of similar age
#80,994
of 405,730 outputs
Outputs of similar age from Frontiers in Genetics
#30
of 386 outputs
Altmetric has tracked 25,387,189 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,655 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 93% 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 405,730 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 80% of its contemporaries.
We're also able to compare this research output to 386 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 92% of its contemporaries.