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Urinary metabolomics using gas chromatography-mass spectrometry: potential biomarkers for autism spectrum disorder

Overview of attention for article published in BMC Neurology, March 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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15 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Urinary metabolomics using gas chromatography-mass spectrometry: potential biomarkers for autism spectrum disorder
Published in
BMC Neurology, March 2022
DOI 10.1186/s12883-022-02630-4
Pubmed ID
Authors

Zaib Un Nisa Khan, Prem Chand, Hafsa Majid, Sibtain Ahmed, Aysha Habib Khan, Azeema Jamil, Saba Ejaz, Ambreen Wasim, Khaleel Ahmad Khan, Lena Jafri

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 11%
Student > Postgraduate 3 11%
Other 2 7%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 16 57%
Readers by discipline Count As %
Computer Science 2 7%
Neuroscience 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Arts and Humanities 1 4%
Nursing and Health Professions 1 4%
Other 6 21%
Unknown 14 50%
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 25 April 2022.
All research outputs
#16,298,802
of 25,738,558 outputs
Outputs from BMC Neurology
#1,420
of 2,725 outputs
Outputs of similar age
#244,173
of 464,142 outputs
Outputs of similar age from BMC Neurology
#37
of 63 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,725 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 464,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.