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Mendeley readers
Attention Score in Context
Title |
Human protein interaction networks across tissues and diseases
|
---|---|
Published in |
Frontiers in Genetics, August 2015
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DOI | 10.3389/fgene.2015.00257 |
Pubmed ID | |
Authors |
Esti Yeger-Lotem, Roded Sharan |
Abstract |
Protein interaction networks are an important framework for studying protein function, cellular processes, and genotype-to-phenotype relationships. While our view of the human interaction network is constantly expanding, less is known about networks that form in biologically important contexts such as within distinct tissues or in disease conditions. Here we review efforts to characterize these networks and to harness them to gain insights into the molecular mechanisms underlying human disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Spain | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Spain | 1 | <1% |
Germany | 1 | <1% |
Luxembourg | 1 | <1% |
Unknown | 119 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 29% |
Researcher | 20 | 16% |
Student > Master | 20 | 16% |
Student > Bachelor | 12 | 10% |
Student > Postgraduate | 6 | 5% |
Other | 11 | 9% |
Unknown | 19 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 38 | 31% |
Agricultural and Biological Sciences | 29 | 23% |
Computer Science | 17 | 14% |
Engineering | 5 | 4% |
Chemistry | 5 | 4% |
Other | 10 | 8% |
Unknown | 20 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 August 2015.
All research outputs
#14,818,555
of 22,817,213 outputs
Outputs from Frontiers in Genetics
#4,472
of 11,789 outputs
Outputs of similar age
#147,074
of 266,167 outputs
Outputs of similar age from Frontiers in Genetics
#39
of 68 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,789 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 266,167 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.