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Clinical and functional variables can predict general fatigue in patients with acromegaly: an explanatory model approach

Overview of attention for article published in Archives of Endocrinology and Metabolism, April 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
30 Mendeley
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Title
Clinical and functional variables can predict general fatigue in patients with acromegaly: an explanatory model approach
Published in
Archives of Endocrinology and Metabolism, April 2019
DOI 10.20945/2359-3997000000127
Pubmed ID
Authors

André da Cunha Michalski, Arthur de Sá Ferreira, Leandro Kasuki, Monica R. Gadelha, Agnaldo José Lopes, Fernando Silva Guimarães

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Other 2 7%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Researcher 2 7%
Other 2 7%
Unknown 14 47%
Readers by discipline Count As %
Nursing and Health Professions 4 13%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Sports and Recreations 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 18 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 February 2022.
All research outputs
#15,512,170
of 23,053,169 outputs
Outputs from Archives of Endocrinology and Metabolism
#122
of 266 outputs
Outputs of similar age
#218,237
of 350,724 outputs
Outputs of similar age from Archives of Endocrinology and Metabolism
#4
of 5 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 266 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 350,724 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.