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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Candidate gene association studies: a comprehensive guide to useful in silicotools
|
|---|---|
| Published in |
BMC Genomic Data, May 2013
|
| DOI | 10.1186/1471-2156-14-39 |
| Pubmed ID | |
| Authors |
Radhika Patnala, Judith Clements, Jyotsna Batra |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Colombia | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 33% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 629 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 1% |
| Brazil | 6 | <1% |
| United Kingdom | 3 | <1% |
| India | 2 | <1% |
| Spain | 2 | <1% |
| Netherlands | 1 | <1% |
| Colombia | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Other | 11 | 2% |
| Unknown | 592 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 149 | 24% |
| Researcher | 110 | 17% |
| Student > Master | 86 | 14% |
| Student > Bachelor | 57 | 9% |
| Student > Doctoral Student | 36 | 6% |
| Other | 109 | 17% |
| Unknown | 82 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 238 | 38% |
| Biochemistry, Genetics and Molecular Biology | 126 | 20% |
| Medicine and Dentistry | 64 | 10% |
| Computer Science | 21 | 3% |
| Neuroscience | 14 | 2% |
| Other | 67 | 11% |
| Unknown | 99 | 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 28 September 2020.
All research outputs
#14,923,136
of 26,017,215 outputs
Outputs from BMC Genomic Data
#434
of 1,215 outputs
Outputs of similar age
#110,275
of 209,455 outputs
Outputs of similar age from BMC Genomic Data
#10
of 25 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 63% 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 209,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 60% of its contemporaries.