You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers
|
|---|---|
| Published in |
Genome Medicine, April 2021
|
| DOI | 10.1186/s13073-021-00879-x |
| Pubmed ID | |
| Authors |
Xiaotong Li, Sushant Kumar, Arif Harmanci, Shantao Li, Robert R. Kitchen, Yan Zhang, Vikram B. Wali, Sangeetha M. Reddy, Wendy A. Woodward, James M. Reuben, Joel Rozowsky, Christos Hatzis, Naoto T. Ueno, Savitri Krishnamurthy, Lajos Pusztai, Mark Gerstein |
X Demographics
The data shown below were collected from the profiles of 17 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 | 6 | 35% |
| United Kingdom | 3 | 18% |
| France | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 8 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Librarian | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 39% |
| Medicine and Dentistry | 5 | 28% |
| Immunology and Microbiology | 1 | 6% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 05 December 2023.
All research outputs
#1,873,408
of 24,942,536 outputs
Outputs from Genome Medicine
#419
of 1,538 outputs
Outputs of similar age
#47,629
of 432,929 outputs
Outputs of similar age from Genome Medicine
#20
of 56 outputs
Altmetric has tracked 24,942,536 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 72% 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 432,929 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 88% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.