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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network spectra for drug-target identification in complex diseases: new guns against old foes
|
|---|---|
| Published in |
Applied Network Science, December 2018
|
| DOI | 10.1007/s41109-018-0107-y |
| Pubmed ID | |
| Authors |
Aparna Rai, Pramod Shinde, Sarika Jalan |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 10% |
| Canada | 1 | 10% |
| Switzerland | 1 | 10% |
| Mexico | 1 | 10% |
| Zimbabwe | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Master | 5 | 22% |
| Student > Doctoral Student | 2 | 9% |
| Professor | 2 | 9% |
| Other | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Chemical Engineering | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 January 2019.
All research outputs
#4,208,774
of 23,117,738 outputs
Outputs from Applied Network Science
#118
of 506 outputs
Outputs of similar age
#86,832
of 406,616 outputs
Outputs of similar age from Applied Network Science
#7
of 12 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 76% 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 406,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.