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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian modeling of spatiotemporal patterns of TB-HIV co-infection risk in Kenya
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2019
|
| DOI | 10.1186/s12879-019-4540-z |
| Pubmed ID | |
| Authors |
Verrah Otiende, Thomas Achia, Henry Mwambi |
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 Kingdom | 1 | 14% |
| Kenya | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 13% |
| Researcher | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Lecturer | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 35 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 19% |
| Nursing and Health Professions | 10 | 11% |
| Social Sciences | 5 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Computer Science | 3 | 3% |
| Other | 17 | 18% |
| Unknown | 37 | 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 06 November 2019.
All research outputs
#5,698,127
of 23,170,347 outputs
Outputs from BMC Infectious Diseases
#1,711
of 7,767 outputs
Outputs of similar age
#104,116
of 362,574 outputs
Outputs of similar age from BMC Infectious Diseases
#28
of 168 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,767 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 77% 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 362,574 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 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.