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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EvoFreq: visualization of the Evolutionary Frequencies of sequence and model data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3173-y |
| Pubmed ID | |
| Authors |
Chandler D. Gatenbee, Ryan O. Schenck, Rafael R. Bravo, Alexander R. A. Anderson |
X Demographics
The data shown below were collected from the profiles of 45 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 | 16 | 36% |
| United Kingdom | 6 | 13% |
| Spain | 3 | 7% |
| Sweden | 2 | 4% |
| Netherlands | 1 | 2% |
| Finland | 1 | 2% |
| Hong Kong | 1 | 2% |
| Italy | 1 | 2% |
| India | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 22 | 49% |
| Members of the public | 21 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Professor | 3 | 14% |
| Researcher | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 24% |
| Mathematics | 3 | 14% |
| Agricultural and Biological Sciences | 3 | 14% |
| Chemical Engineering | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 05 April 2022.
All research outputs
#1,289,538
of 25,402,528 outputs
Outputs from BMC Bioinformatics
#135
of 7,701 outputs
Outputs of similar age
#31,157
of 475,295 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 219 outputs
Altmetric has tracked 25,402,528 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 7,701 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 475,295 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 93% of its contemporaries.
We're also able to compare this research output to 219 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.