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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying high risk subgroups of MSM: a latent class analysis using two samples
|
|---|---|
| Published in |
BMC Infectious Diseases, March 2019
|
| DOI | 10.1186/s12879-019-3700-5 |
| Pubmed ID | |
| Authors |
M. Kumi Smith, Gabriella Stein, Weibin Cheng, William C. Miller, Joseph D. Tucker |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 18% |
| Researcher | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Other | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 20% |
| Medicine and Dentistry | 8 | 16% |
| Psychology | 5 | 10% |
| Social Sciences | 3 | 6% |
| Linguistics | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 March 2020.
All research outputs
#12,926,475
of 23,132,033 outputs
Outputs from BMC Infectious Diseases
#2,975
of 7,760 outputs
Outputs of similar age
#163,564
of 352,434 outputs
Outputs of similar age from BMC Infectious Diseases
#72
of 167 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,760 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 gotten more attention than average, scoring higher than 61% 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 352,434 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 53% of its contemporaries.
We're also able to compare this research output to 167 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 55% of its contemporaries.