| Title |
Estimating Latent Tuberculosis Infection Using Interferon-γ Release Assay, Japan - Volume 24, Number 11—November 2018 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, November 2018
|
| DOI | 10.3201/eid2411.171948 |
| Pubmed ID | |
| Authors |
Tomoyasu Nishimura, Masaki Ota, Masaaki Mori, Naoki Hasegawa, Hiroshi Kawabe, Seiya Kato |
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 | 4 | 57% |
| Spain | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Immunology and Microbiology | 1 | 6% |
| Unknown | 9 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 November 2018.
All research outputs
#6,433,887
of 23,509,253 outputs
Outputs from Emerging Infectious Diseases
#4,771
of 9,218 outputs
Outputs of similar age
#115,992
of 352,286 outputs
Outputs of similar age from Emerging Infectious Diseases
#70
of 123 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 352,286 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 66% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.