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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of circulating CA125 prediction models in postmenopausal women
|
|---|---|
| Published in |
Journal of Ovarian Research, November 2019
|
| DOI | 10.1186/s13048-019-0591-4 |
| Pubmed ID | |
| Authors |
Naoko Sasamoto, Ana Babic, Bernard A. Rosner, Renée T. Fortner, Allison F. Vitonis, Hidemi Yamamoto, Raina N. Fichorova, Linda J. Titus, Anne Tjønneland, Louise Hansen, Marina Kvaskoff, Agnès Fournier, Francesca Romana Mancini, Heiner Boeing, Antonia Trichopoulou, Eleni Peppa, Anna Karakatsani, Domenico Palli, Sara Grioni, Amalia Mattiello, Rosario Tumino, Valentina Fiano, N. Charlotte Onland-Moret, Elisabete Weiderpass, Inger T. Gram, J. Ramón Quirós, Leila Lujan-Barroso, Maria-Jose Sánchez, Sandra Colorado-Yohar, Aurelio Barricarte, Pilar Amiano, Annika Idahl, Eva Lundin, Hanna Sartor, Kay-Tee Khaw, Timothy J. Key, David Muller, Elio Riboli, Marc Gunter, Laure Dossus, Britton Trabert, Nicolas Wentzensen, Rudolf Kaaks, Daniel W. Cramer, Shelley S. Tworoger, Kathryn L. Terry |
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 % |
|---|---|---|
| Spain | 4 | 80% |
| Grenada | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 15% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Postgraduate | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 29 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 36% |
| Nursing and Health Professions | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 32 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 December 2019.
All research outputs
#7,544,485
of 23,177,498 outputs
Outputs from Journal of Ovarian Research
#102
of 605 outputs
Outputs of similar age
#162,618
of 459,046 outputs
Outputs of similar age from Journal of Ovarian Research
#4
of 24 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 605 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 82% 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 459,046 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 64% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.