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Surface Enhanced CdSe/ZnS QD/SiNP Electrochemical Immunosensor for the Detection of Mycobacterium Tuberculosis by Combination of CFP10-ESAT6 for Better Diagnostic Specificity

Overview of attention for article published in Materials, December 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
2 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Surface Enhanced CdSe/ZnS QD/SiNP Electrochemical Immunosensor for the Detection of Mycobacterium Tuberculosis by Combination of CFP10-ESAT6 for Better Diagnostic Specificity
Published in
Materials, December 2019
DOI 10.3390/ma13010149
Pubmed ID
Authors

Noremylia Mohd Bakhori, Nor Azah Yusof, Jaafar Abdullah, Helmi Wasoh, Siti Khadijah Ab Rahman, Siti Fatimah Abd Rahman

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Bachelor 5 16%
Student > Master 4 13%
Professor > Associate Professor 2 6%
Student > Doctoral Student 1 3%
Other 5 16%
Unknown 9 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 13%
Engineering 3 10%
Chemical Engineering 2 6%
Chemistry 2 6%
Materials Science 2 6%
Other 5 16%
Unknown 13 42%
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 09 January 2020.
All research outputs
#14,470,260
of 23,186,937 outputs
Outputs from Materials
#2,123
of 7,886 outputs
Outputs of similar age
#244,600
of 456,532 outputs
Outputs of similar age from Materials
#73
of 315 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,886 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 70% 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 456,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 315 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 74% of its contemporaries.