| Title |
Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report.
|
|---|---|
| Published in |
JCO Clinical Cancer Informatics, December 2019
|
| DOI | 10.1200/cci.18.00072 |
| Pubmed ID | |
| Authors |
Xinyi Jiang, Julia E McGuinness, Margaret Sin, Thomas Silverman, Rita Kukafka, Katherine D Crew |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| Kenya | 1 | 11% |
| France | 1 | 11% |
| Germany | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Master | 5 | 14% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 33% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Social Sciences | 3 | 8% |
| Business, Management and Accounting | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 April 2019.
All research outputs
#6,931,440
of 24,775,802 outputs
Outputs from JCO Clinical Cancer Informatics
#318
of 635 outputs
Outputs of similar age
#141,682
of 471,102 outputs
Outputs of similar age from JCO Clinical Cancer Informatics
#53
of 88 outputs
Altmetric has tracked 24,775,802 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 50% 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 471,102 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 69% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.