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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The use of HE4, CA125 and CA72-4 biomarkers for differential diagnosis between ovarian endometrioma and epithelial ovarian cancer
|
|---|---|
| Published in |
Journal of Ovarian Research, July 2013
|
| DOI | 10.1186/1757-2215-6-44 |
| Pubmed ID | |
| Authors |
Emanuela Anastasi, Teresa Granato, Renato Falzarano, Paola Storelli, Adele Ticino, Luigi Frati, Pierluigi Benedetti Panici, Maria Grazia Porpora |
| Abstract |
Endometriosis is frequently associated with high levels of CA125. This marker is therefore not useful for discriminating ovarian endometrioma from ovarian malignancy. The aim of this study was to establish a panel of complementary biomarkers that could be helpful in the differential diagnosis between ovarian endometriosis or other ovarian benign masses and ovarian cancer. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 33% |
| Venezuela, Bolivarian Republic of | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Nigeria | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 41% |
| Agricultural and Biological Sciences | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Engineering | 2 | 3% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 14 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 July 2013.
All research outputs
#13,386,515
of 22,713,403 outputs
Outputs from Journal of Ovarian Research
#147
of 582 outputs
Outputs of similar age
#102,628
of 194,634 outputs
Outputs of similar age from Journal of Ovarian Research
#2
of 3 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 582 research outputs from this source. They receive a mean Attention Score of 3.2. 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 194,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.