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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments
|
|---|---|
| Published in |
BMC Cancer, November 2020
|
| DOI | 10.1186/s12885-020-07618-2 |
| Pubmed ID | |
| Authors |
Lillian Sung, Conor Corbin, Ethan Steinberg, Emily Vettese, Aaron Campigotto, Loreto Lecce, George A. Tomlinson, Nigam Shah |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 November 2020.
All research outputs
#18,108,894
of 23,263,851 outputs
Outputs from BMC Cancer
#5,049
of 8,426 outputs
Outputs of similar age
#293,874
of 414,204 outputs
Outputs of similar age from BMC Cancer
#69
of 129 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,426 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 34th percentile – i.e., 34% 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 414,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.