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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases
|
|---|---|
| Published in |
Frontiers in Public Health, June 2021
|
| DOI | 10.3389/fpubh.2021.667337 |
| Pubmed ID | |
| Authors |
Kathryn Winglee, Clinton J. McDaniel, Lauren Linde, Steve Kammerer, Martin Cilnis, Kala M. Raz, Wendy Noboa, Jillian Knorr, Lauren Cowan, Sue Reynolds, James Posey, Jeanne Sullivan Meissner, Shameer Poonja, Tambi Shaw, Sarah Talarico, Benjamin J. Silk |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| South Africa | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Student > Doctoral Student | 1 | 10% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Medicine and Dentistry | 2 | 20% |
| Agricultural and Biological Sciences | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 November 2021.
All research outputs
#6,638,629
of 25,813,008 outputs
Outputs from Frontiers in Public Health
#2,671
of 14,427 outputs
Outputs of similar age
#133,182
of 459,260 outputs
Outputs of similar age from Frontiers in Public Health
#150
of 632 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 14,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 81% 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 459,260 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 70% of its contemporaries.
We're also able to compare this research output to 632 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.