A comparison between an ultrasound based prediction model (LR2) and the Risk of Ovarian Malignancy Algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass

Overview of attention for article published in Gynecologic Oncology, January 2013

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (81st percentile)
High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter: 1 X user

guideline: 2 clinical guideline sources

Readers on

mendeley: 61 Mendeley

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Article details
Title	A comparison between an ultrasound based prediction model (LR2) and the Risk of Ovarian Malignancy Algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass
Published in	Gynecologic Oncology, January 2013
DOI	10.1016/j.ygyno.2013.01.018
Pubmed ID	23360924
Authors	Jeroen Kaijser, Toon Van Gorp, Kirsten Van Hoorde, Caroline Van Holsbeke, Ahmad Sayasneh, Ignace Vergote, Tom Bourne, Dirk Timmerman, Ben Van Calster
Abstract	The identification of novel biomarkers led to the development of the ROMA algorithm incorporating both HE4 and CA125 to predict malignancy in women with a pelvic mass. An ultrasound based prediction model (LR2) developed by the International Ovarian Tumor Analysis (IOTA) study offers better diagnostic performance than CA125 alone. In this study we compared the diagnostic accuracy between LR2 and ROMA.

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Activity

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Geographical breakdown
Country	Count	As %
Unknown	1	100%

Demographic breakdown

Type
Type	Count	As %
Practitioners (doctors, other healthcare professionals)	1	100%

Mendeley demographics

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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Geographical breakdown

Geographical breakdown
Country	Count	As %
Spain	1	2%
Unknown	60	98%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Student > Ph. D. Student	8	13%
Student > Postgraduate	7	11%
Student > Master	6	10%
Researcher	6	10%
Other	5	8%
Other	17	28%
Unknown	12	20%

Readers by discipline
Readers by discipline	Count	As %
Medicine and Dentistry	30	49%
Nursing and Health Professions	3	5%
Engineering	3	5%
Physics and Astronomy	2	3%
Mathematics	1	2%
Other	6	10%
Unknown	16	26%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 January 2025.

All research outputs

#6,254,523

of 29,868,835 outputs

Outputs from Gynecologic Oncology

#1,548

of 6,353 outputs

Outputs of similar age

#56,401

of 308,261 outputs

Outputs of similar age from Gynecologic Oncology

of 54 outputs

Altmetric has tracked 29,868,835 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 6,353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 75% 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 308,261 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 81% of its contemporaries.

We're also able to compare this research output to 54 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.