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Comparative Proteome Profiling of Saliva Between Estrus and Non-Estrus Stages by Employing Label-Free Quantitation (LFQ) and Tandem Mass Tag (TMT)-LC-MS/MS Analysis: An Approach for Estrus Biomarker…

Overview of attention for article published in Frontiers in Genetics, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Citations

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10 Dimensions

Readers on

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13 Mendeley
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Title
Comparative Proteome Profiling of Saliva Between Estrus and Non-Estrus Stages by Employing Label-Free Quantitation (LFQ) and Tandem Mass Tag (TMT)-LC-MS/MS Analysis: An Approach for Estrus Biomarker Identification in Bubalus bubalis
Published in
Frontiers in Genetics, May 2022
DOI 10.3389/fgene.2022.867909
Pubmed ID
Authors

Laishram Kipjen Singh, Mamta Pandey, Rubina Kumari Baithalu, Abhijeet Fernandes, Syed Azmal Ali, Latika Jaiswal, Suryaprakash Pannu, Neeraj, Tushar K. Mohanty, A. Kumaresan, Tirtha K. Datta, Sudarshan Kumar, Ashok K. Mohanty

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Researcher 2 15%
Student > Doctoral Student 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 31%
Veterinary Science and Veterinary Medicine 2 15%
Environmental Science 1 8%
Agricultural and Biological Sciences 1 8%
Computer Science 1 8%
Other 0 0%
Unknown 4 31%
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 06 July 2022.
All research outputs
#13,431,543
of 22,797,621 outputs
Outputs from Frontiers in Genetics
#3,248
of 11,761 outputs
Outputs of similar age
#185,848
of 437,911 outputs
Outputs of similar age from Frontiers in Genetics
#160
of 897 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,761 research outputs from this source. They receive a mean Attention Score of 3.7. 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 437,911 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 897 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.