| Title |
Evaluation of an ensemble-based distance statistic for clustering MLST datasets using epidemiologically defined clusters of cyclosporiasis
|
|---|---|
| Published in |
Epidemiology & Infection, August 2020
|
| DOI | 10.1017/s0950268820001697 |
| Pubmed ID | |
| Authors |
Fernanda S. Nascimento, Joel Barratt, Katelyn Houghton, Mateusz Plucinski, Julia Kelley, Shannon Casillas, Carolyne Bennett, Cathy Snider, Rashmi Tuladhar, Jenny Zhang, Brooke Clemons, Susan Madison-Antenucci, Alexis Russell, Elizabeth Cebelinski, Jisun Haan, Trisha Robinson, Michael J. Arrowood, Eldin Talundzic, Richard S. Bradbury, Yvonne Qvarnstrom |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Computer Science | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Social Sciences | 1 | 13% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 November 2020.
All research outputs
#5,144,549
of 25,387,668 outputs
Outputs from Epidemiology & Infection
#919
of 4,680 outputs
Outputs of similar age
#120,126
of 426,359 outputs
Outputs of similar age from Epidemiology & Infection
#25
of 67 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 80% 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 426,359 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 71% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.