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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PathMe: merging and exploring mechanistic pathway knowledge
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2863-9 |
| Pubmed ID | |
| Authors |
Daniel Domingo-Fernández, Sarah Mubeen, Josep Marín-Llaó, Charles Tapley Hoyt, Martin Hofmann-Apitius |
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 % |
|---|---|---|
| Germany | 2 | 33% |
| United States | 1 | 17% |
| Japan | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Master | 14 | 18% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Computer Science | 13 | 16% |
| Agricultural and Biological Sciences | 7 | 9% |
| Medicine and Dentistry | 5 | 6% |
| Social Sciences | 3 | 4% |
| Other | 13 | 16% |
| Unknown | 20 | 25% |
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 07 November 2019.
All research outputs
#8,345,858
of 25,773,273 outputs
Outputs from BMC Bioinformatics
#3,053
of 7,743 outputs
Outputs of similar age
#141,586
of 366,289 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 199 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,743 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 60% 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 366,289 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 60% of its contemporaries.
We're also able to compare this research output to 199 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.