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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer
|
|---|---|
| Published in |
Breast Cancer Research, May 2023
|
| DOI | 10.1186/s13058-023-01654-z |
| Pubmed ID | |
| Authors |
Joseph R. Peterson, John A. Cole, John R. Pfeiffer, Gregory H. Norris, Yuhan Zhang, Dorys Lopez-Ramos, Tushar Pandey, Matthew Biancalana, Hope R. Esslinger, Anuja K. Antony, Vinita Takiar |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 27% |
| Unspecified | 2 | 13% |
| Other | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Computer Science | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 May 2023.
All research outputs
#4,172,768
of 25,394,764 outputs
Outputs from Breast Cancer Research
#491
of 2,054 outputs
Outputs of similar age
#73,883
of 400,751 outputs
Outputs of similar age from Breast Cancer Research
#4
of 35 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 75% 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 400,751 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 81% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.