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Proposed algorithm for management of patients with thyroid nodules/focal lesions, based on ultrasound (US) and fine-needle aspiration biopsy (FNAB); our own experience

Overview of attention for article published in Thyroid Research, April 2013
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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1 X user
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1 Facebook page

Citations

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19 Dimensions

Readers on

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29 Mendeley
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Title
Proposed algorithm for management of patients with thyroid nodules/focal lesions, based on ultrasound (US) and fine-needle aspiration biopsy (FNAB); our own experience
Published in
Thyroid Research, April 2013
DOI 10.1186/1756-6614-6-6
Pubmed ID
Authors

Zbigniew Adamczewski, Andrzej Lewiński

Abstract

The standard management in patients with thyroid nodules is to assess the risk of malignancy, based on cytological examination. On the other hand, there are thyroid patterns of ultrasound (US) image, associated with an increased risk of malignancy. The aim of our study was to create a diagnostic algorithm that would employ both data from US examination (expressed by a total score, according to our scoring system) and FNAB results, classified according to Bethesda system (The Bethesda System for Reporting Thyroid Cytopathology - TBSRTC categories).

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 17%
Student > Postgraduate 4 14%
Professor > Associate Professor 4 14%
Student > Ph. D. Student 4 14%
Other 3 10%
Other 4 14%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 19 66%
Environmental Science 1 3%
Physics and Astronomy 1 3%
Agricultural and Biological Sciences 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 5 17%
Attention Score in Context

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 18 October 2013.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Thyroid Research
#90
of 216 outputs
Outputs of similar age
#129,446
of 209,622 outputs
Outputs of similar age from Thyroid Research
#10
of 26 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 216 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 54% 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 209,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 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 61% of its contemporaries.