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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An optimal variant to gene distance window derived from an empirical definition of cis and trans protein QTLs
|
|---|---|
| Published in |
BMC Bioinformatics, May 2022
|
| DOI | 10.1186/s12859-022-04706-x |
| Pubmed ID | |
| Authors |
Eric B. Fauman, Craig Hyde |
X Demographics
The data shown below were collected from the profiles of 77 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 22 | 29% |
| United Kingdom | 5 | 6% |
| Germany | 5 | 6% |
| France | 3 | 4% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Japan | 1 | 1% |
| New Zealand | 1 | 1% |
| Canada | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 30 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 51% |
| Scientists | 37 | 48% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
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 % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 14 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 34% |
| Agricultural and Biological Sciences | 4 | 11% |
| Neuroscience | 3 | 8% |
| Psychology | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 18 April 2024.
All research outputs
#1,009,472
of 25,808,886 outputs
Outputs from BMC Bioinformatics
#73
of 7,752 outputs
Outputs of similar age
#24,235
of 448,357 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 149 outputs
Altmetric has tracked 25,808,886 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 7,752 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 448,357 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 149 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 99% of its contemporaries.