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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sputum lipoarabinomannan (LAM) as a biomarker to determine sputum mycobacterial load: exploratory and model-based analyses of integrated data from four cohorts
|
|---|---|
| Published in |
BMC Infectious Diseases, April 2022
|
| DOI | 10.1186/s12879-022-07308-3 |
| Pubmed ID | |
| Authors |
Aksana Jones, Jay Saini, Belinda Kriel, Laura E. Via, Yin Cai, Devon Allies, Debra Hanna, David Hermann, Andre G. Loxton, Gerhard Walzl, Andreas H. Diacon, Klaus Romero, Ryo Higashiyama, Yongge Liu, Alexander Berg |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Researcher | 4 | 18% |
| Student > Bachelor | 3 | 14% |
| Student > Ph. D. Student | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Social Sciences | 2 | 9% |
| Economics, Econometrics and Finance | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 April 2022.
All research outputs
#15,327,399
of 23,570,677 outputs
Outputs from BMC Infectious Diseases
#4,184
of 7,855 outputs
Outputs of similar age
#235,555
of 443,539 outputs
Outputs of similar age from BMC Infectious Diseases
#117
of 234 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 41st percentile – i.e., 41% 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 443,539 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.