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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis and verification of the HMGB1 signaling pathway
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-s7-s10 |
| Pubmed ID | |
| Authors |
Haijun Gong, Paolo Zuliani, Anvesh Komuravelli, James R Faeder, Edmund M Clarke |
| Abstract |
Recent studies have found that overexpression of the High-mobility group box-1 (HMGB1) protein, in conjunction with its receptors for advanced glycation end products (RAGEs) and toll-like receptors (TLRs), is associated with proliferation of various cancer types, including that of the breast and pancreatic. |
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 % |
|---|---|---|
| Unknown | 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Russia | 1 | 1% |
| France | 1 | 1% |
| Unknown | 63 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 14 | 21% |
| Professor > Associate Professor | 9 | 13% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 5 | 7% |
| Other | 8 | 12% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 43% |
| Computer Science | 12 | 18% |
| Medicine and Dentistry | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Engineering | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 6 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 June 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from BMC Bioinformatics
#5,372
of 7,272 outputs
Outputs of similar age
#79,707
of 99,070 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 54 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 99,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.