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Mendeley readers
Attention Score in Context
Title |
Resolving spatial inconsistencies in chromosome conformation measurements
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Published in |
Algorithms for Molecular Biology, March 2013
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DOI | 10.1186/1748-7188-8-8 |
Pubmed ID | |
Authors |
Geet Duggal, Rob Patro, Emre Sefer, Hao Wang, Darya Filippova, Samir Khuller, Carl Kingsford |
Abstract |
Chromosome structure is closely related to its function and Chromosome Conformation Capture (3C) is a widely used technique for exploring spatial properties of chromosomes. 3C interaction frequencies are usually associated with spatial distances. However, the raw data from 3C experiments is an aggregation of interactions from many cells, and the spatial distances of any given interaction are uncertain. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
Unknown | 2 | 67% |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 8% |
United States | 1 | 8% |
Greece | 1 | 8% |
Unknown | 10 | 77% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 4 | 31% |
Researcher | 4 | 31% |
Student > Ph. D. Student | 3 | 23% |
Lecturer | 1 | 8% |
Student > Master | 1 | 8% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 69% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Chemical Engineering | 1 | 8% |
Computer Science | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 December 2017.
All research outputs
#13,284,653
of 22,708,120 outputs
Outputs from Algorithms for Molecular Biology
#97
of 264 outputs
Outputs of similar age
#104,196
of 195,385 outputs
Outputs of similar age from Algorithms for Molecular Biology
#4
of 7 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 63% 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 195,385 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.