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X Demographics
Mendeley readers
Attention Score in Context
Title |
High resolution melting curve analysis enables rapid and reliable detection of G6PD variants in heterozygous females
|
---|---|
Published in |
BMC Genomic Data, August 2018
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DOI | 10.1186/s12863-018-0664-1 |
Pubmed ID | |
Authors |
Md Tarikul Islam, Suprovath Kumar Sarker, Shezote Talukder, Golam Sarower Bhuyan, Asifuzzaman Rahat, Nafisa Nawal Islam, Hasan Mahmud, Mohammad Amir Hossain, A. K. M. Muraduzzaman, Jakia Rahman, Syeda Kashfi Qadri, Mohammod Shahidullah, Mohammad Abdul Mannan, Sarabon Tahura, Manzoor Hussain, Narayan Saha, Shahida Akhter, Nazmun Nahar, Firoza Begum, Tahmina Shirin, Sharif Akhteruzzaman, Syed Saleheen Qadri, Firdausi Qadri, Kaiissar Mannoor |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Bangladesh | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 16% |
Researcher | 5 | 13% |
Student > Ph. D. Student | 4 | 11% |
Student > Bachelor | 3 | 8% |
Unspecified | 3 | 8% |
Other | 6 | 16% |
Unknown | 11 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 21% |
Medicine and Dentistry | 3 | 8% |
Unspecified | 3 | 8% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 5 | 13% |
Unknown | 15 | 39% |
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 27 August 2018.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from BMC Genomic Data
#667
of 1,204 outputs
Outputs of similar age
#220,052
of 341,333 outputs
Outputs of similar age from BMC Genomic Data
#16
of 31 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 341,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.