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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictive modeling of gene expression regulation
|
|---|---|
| Published in |
BMC Bioinformatics, November 2021
|
| DOI | 10.1186/s12859-021-04481-1 |
| Pubmed ID | |
| Authors |
Chiara Regondi, Maddalena Fratelli, Giovanna Damia, Federica Guffanti, Monica Ganzinelli, Matteo Matteucci, Marco Masseroli |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| India | 1 | 9% |
| Denmark | 1 | 9% |
| Sweden | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Bachelor | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Arts and Humanities | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 10 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 November 2021.
All research outputs
#7,655,027
of 25,097,836 outputs
Outputs from BMC Bioinformatics
#2,758
of 7,651 outputs
Outputs of similar age
#161,042
of 516,854 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 171 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,651 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 gotten more attention than average, scoring higher than 62% 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 516,854 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 171 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 63% of its contemporaries.