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Mendeley readers
Attention Score in Context
| Title |
Genetic landscape of the people of India: a canvas for disease gene exploration
|
|---|---|
| Published in |
Journal of Genetics, April 2008
|
| DOI | 10.1007/s12041-008-0002-x |
| Pubmed ID | |
| Authors |
Indian Genome Variation Consortium |
| Abstract |
Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (>10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations. |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 2% |
| United States | 3 | 2% |
| Germany | 2 | 1% |
| Tunisia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 169 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 25% |
| Researcher | 37 | 21% |
| Professor > Associate Professor | 17 | 9% |
| Professor | 11 | 6% |
| Student > Postgraduate | 8 | 4% |
| Other | 35 | 19% |
| Unknown | 27 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 42% |
| Biochemistry, Genetics and Molecular Biology | 28 | 16% |
| Medicine and Dentistry | 19 | 11% |
| Computer Science | 5 | 3% |
| Immunology and Microbiology | 4 | 2% |
| Other | 20 | 11% |
| Unknown | 29 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 June 2023.
All research outputs
#8,517,130
of 25,392,205 outputs
Outputs from Journal of Genetics
#98
of 683 outputs
Outputs of similar age
#33,205
of 95,334 outputs
Outputs of similar age from Journal of Genetics
#1
of 4 outputs
Altmetric has tracked 25,392,205 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 683 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 61% 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 95,334 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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