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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct transcriptional programs stratify ovarian cancer cell lines into the five major histological subtypes
|
|---|---|
| Published in |
Genome Medicine, September 2021
|
| DOI | 10.1186/s13073-021-00952-5 |
| Pubmed ID | |
| Authors |
Bethany M. Barnes, Louisa Nelson, Anthony Tighe, George J. Burghel, I-Hsuan Lin, Sudha Desai, Joanne C. McGrail, Robert D. Morgan, Stephen S. Taylor |
X Demographics
The data shown below were collected from the profiles of 20 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 Kingdom | 8 | 40% |
| South Africa | 1 | 5% |
| United States | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 8 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Bachelor | 6 | 8% |
| Student > Master | 5 | 7% |
| Other | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 31 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 26% |
| Medicine and Dentistry | 6 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Unspecified | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 34 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 21 September 2021.
All research outputs
#2,421,923
of 23,577,654 outputs
Outputs from Genome Medicine
#554
of 1,466 outputs
Outputs of similar age
#56,417
of 430,574 outputs
Outputs of similar age from Genome Medicine
#12
of 46 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 62% 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 430,574 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 86% of its contemporaries.
We're also able to compare this research output to 46 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 73% of its contemporaries.