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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2018
|
| DOI | 10.1186/s12874-018-0596-5 |
| Pubmed ID | |
| Authors |
Leili Tapak, Michael R. Kosorok, Majid Sadeghifar, Omid Hamidi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 > Ph. D. Student | 7 | 14% |
| Unspecified | 6 | 12% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 18 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 12% |
| Nursing and Health Professions | 5 | 10% |
| Computer Science | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 22 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 15 November 2018.
All research outputs
#4,050,364
of 23,112,054 outputs
Outputs from BMC Medical Research Methodology
#646
of 2,035 outputs
Outputs of similar age
#79,519
of 343,833 outputs
Outputs of similar age from BMC Medical Research Methodology
#31
of 71 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 67% 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 343,833 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 71 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 54% of its contemporaries.