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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Computational Approach for Deciphering the Organization of Glycosaminoglycans
|
|---|---|
| Published in |
PLOS ONE, February 2010
|
| DOI | 10.1371/journal.pone.0009389 |
| Pubmed ID | |
| Authors |
Jean L. Spencer, Joel A. Bernanke, Jo Ann Buczek-Thomas, Matthew A. Nugent |
| Abstract |
Increasing evidence has revealed important roles for complex glycans as mediators of normal and pathological processes. Glycosaminoglycans are a class of glycans that bind and regulate the function of a wide array of proteins at the cell-extracellular matrix interface. The specific sequence and chemical organization of these polymers likely define function; however, identification of the structure-function relationships of glycosaminoglycans has been met with challenges associated with the unique level of complexity and the nontemplate-driven biosynthesis of these biopolymers. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 11% |
| Spain | 1 | 4% |
| Unknown | 24 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 36% |
| Researcher | 6 | 21% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Professor | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 32% |
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Chemistry | 2 | 7% |
| Unspecified | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 6 | 21% |
| Unknown | 3 | 11% |
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 16 October 2014.
All research outputs
#6,395,364
of 22,721,584 outputs
Outputs from PLOS ONE
#76,740
of 193,977 outputs
Outputs of similar age
#30,235
of 93,698 outputs
Outputs of similar age from PLOS ONE
#309
of 665 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 193,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 59% 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 93,698 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 65% of its contemporaries.
We're also able to compare this research output to 665 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 50% of its contemporaries.