| Title |
Percepta Genomic Sequencing Classifier and decision-making in patients with high-risk lung nodules: a decision impact study
|
|---|---|
| Published in |
BMC Pulmonary Medicine, January 2022
|
| DOI | 10.1186/s12890-021-01772-4 |
| Pubmed ID | |
| Authors |
Sonali Sethi, Scott Oh, Alexander Chen, Christina Bellinger, Lori Lofaro, Marla Johnson, Jing Huang, Sangeeta Maruti Bhorade, William Bulman, Giulia C. Kennedy |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Materials Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 5 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 06 February 2022.
All research outputs
#696,407
of 23,063,209 outputs
Outputs from BMC Pulmonary Medicine
#23
of 1,955 outputs
Outputs of similar age
#18,291
of 504,463 outputs
Outputs of similar age from BMC Pulmonary Medicine
#1
of 78 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,955 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 504,463 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.