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Identification of novel mutations among Iranian NPC1 patients: a bioinformatics approach to predict pathogenic mutations

Overview of attention for article published in Hereditas, January 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
1 Mendeley
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Title
Identification of novel mutations among Iranian NPC1 patients: a bioinformatics approach to predict pathogenic mutations
Published in
Hereditas, January 2022
DOI 10.1186/s41065-022-00224-1
Pubmed ID
Authors

Rezvan Abtahi, Parvaneh Karimzadeh, Omid Aryani, Diba Akbarzadeh, Shadab Salehpour, Alireza Rezayi, Seyed Hassan Tonekaboni, Reza Zolfaghari Emameh, Massoud Houshmand

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 28 January 2022.
All research outputs
#14,078,323
of 20,999,751 outputs
Outputs from Hereditas
#337
of 467 outputs
Outputs of similar age
#208,388
of 367,192 outputs
Outputs of similar age from Hereditas
#1
of 1 outputs
Altmetric has tracked 20,999,751 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 467 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 23rd percentile – i.e., 23% 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 367,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them