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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2969-0 |
| Pubmed ID | |
| Authors |
Marina Esteban-Medina, María Peña-Chilet, Carlos Loucera, Joaquín Dopazo |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| Spain | 2 | 29% |
| Canada | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 15% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 7 | 9% |
| Other | 7 | 9% |
| Unknown | 25 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Medicine and Dentistry | 8 | 10% |
| Engineering | 7 | 9% |
| Computer Science | 4 | 5% |
| Business, Management and Accounting | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 31 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 July 2020.
All research outputs
#7,319,874
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#2,573
of 7,763 outputs
Outputs of similar age
#121,805
of 364,587 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 160 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,763 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 gotten more attention than average, scoring higher than 66% 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 364,587 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 66% of its contemporaries.
We're also able to compare this research output to 160 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 56% of its contemporaries.