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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2022
|
| DOI | 10.1186/s12874-022-01583-z |
| Pubmed ID | |
| Authors |
Yifu Chen, Lucy Hao, Vito Z. Zou, Zsuzsanna Hollander, Raymond T. Ng, Kathryn V. Isaac |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 3 | 7% |
| Student > Ph. D. Student | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 20 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 17% |
| Medicine and Dentistry | 5 | 12% |
| Business, Management and Accounting | 3 | 7% |
| Linguistics | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 19 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 June 2022.
All research outputs
#14,717,488
of 23,577,761 outputs
Outputs from BMC Medical Research Methodology
#1,422
of 2,080 outputs
Outputs of similar age
#215,314
of 443,218 outputs
Outputs of similar age from BMC Medical Research Methodology
#37
of 62 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,080 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 28th percentile – i.e., 28% 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 443,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.