The data shown below were collected from the profiles of 17 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 |
Characterizing the genetic differences between two distinct migrant groups from Indo-European and Dravidian speaking populations in India
|
|---|---|
| Published in |
BMC Genomic Data, July 2014
|
| DOI | 10.1186/1471-2156-15-86 |
| Pubmed ID | |
| Authors |
Mohammad Ali, Xuanyao Liu, Esakimuthu Nisha Pillai, Peng Chen, Chiea-Chuen Khor, Rick Twee-Hee Ong, Yik-Ying Teo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 6 | 35% |
| France | 1 | 6% |
| Unknown | 10 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Scientists | 1 | 6% |
| Unknown | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 28% |
| Student > Master | 8 | 21% |
| Researcher | 6 | 15% |
| Lecturer > Senior Lecturer | 3 | 8% |
| Other | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 21% |
| Agricultural and Biological Sciences | 8 | 21% |
| Medicine and Dentistry | 6 | 15% |
| Unspecified | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 12 April 2024.
All research outputs
#1,462,168
of 26,320,509 outputs
Outputs from BMC Genomic Data
#31
of 1,215 outputs
Outputs of similar age
#13,794
of 240,397 outputs
Outputs of similar age from BMC Genomic Data
#2
of 25 outputs
Altmetric has tracked 26,320,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 97% 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 240,397 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 25 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 92% of its contemporaries.