The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MycoVarP: Mycobacterium Variant and Drug Resistance Prediction Pipeline for Whole-Genome Sequence Data Analysis
|
|---|---|
| Published in |
Frontiers in Bioinformatics, June 2022
|
| DOI | 10.3389/fbinf.2021.805338 |
| Pubmed ID | |
| Authors |
Sandeep Swargam, Indu Kumari, Amit Kumar, Dibyabhaba Pradhan, Anwar Alam, Harpreet Singh, Anuja Jain, Kangjam Rekha Devi, Vishal Trivedi, Jogesh Sarma, Mahmud Hanif, Kanwar Narain, Nasreen Zafar Ehtesham, Seyed Ehtesham Hasnain, Shandar Ahmad |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kuwait | 1 | 10% |
| United Kingdom | 1 | 10% |
| India | 1 | 10% |
| Sweden | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Student > Postgraduate | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 25% |
| Immunology and Microbiology | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Chemistry | 1 | 8% |
| Materials Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 10 July 2024.
All research outputs
#997,697
of 26,567,854 outputs
Outputs from Frontiers in Bioinformatics
#2
of 358 outputs
Outputs of similar age
#23,330
of 453,934 outputs
Outputs of similar age from Frontiers in Bioinformatics
#1
of 40 outputs
Altmetric has tracked 26,567,854 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 358 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 453,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.