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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Acidic ascites inhibits ovarian cancer cell proliferation and correlates with the metabolomic, lipidomic and inflammatory phenotype of human patients
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2022
|
| DOI | 10.1186/s12967-022-03763-3 |
| Pubmed ID | |
| Authors |
Qianlu Yang, Gyuntae Bae, Giorgi Nadiradze, Arianna Castagna, Georgy Berezhnoy, Laimdota Zizmare, Aditi Kulkarni, Yogesh Singh, Frank J. Weinreich, Stefan Kommoss, Marc A. Reymond, Christoph Trautwein |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 December 2022.
All research outputs
#6,452,288
of 25,038,941 outputs
Outputs from Journal of Translational Medicine
#1,055
of 4,543 outputs
Outputs of similar age
#120,224
of 479,703 outputs
Outputs of similar age from Journal of Translational Medicine
#26
of 124 outputs
Altmetric has tracked 25,038,941 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 76% 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 479,703 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 74% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.