You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity
|
|---|---|
| Published in |
BMC Genomics, August 2014
|
| DOI | 10.1186/1471-2164-15-725 |
| Pubmed ID | |
| Authors |
Guerkan Sengoelge, Wolfgang Winnicki, Anne Kupczok, Arndt von Haeseler, Michael Schuster, Walter Pfaller, Paul Jennings, Ansgar Weltermann, Sophia Blake, Gere Sunder-Plassmann |
| Abstract |
Large scale transcript analysis of human glomerular microvascular endothelial cells (HGMEC) has never been accomplished. We designed this study to define the transcriptome of HGMEC and facilitate a better characterization of these endothelial cells with unique features. Serial analysis of gene expression (SAGE) was used for its unbiased approach to quantitative acquisition of transcripts. |
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 % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Professor | 3 | 11% |
| Student > Master | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 11 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 21% |
| Agricultural and Biological Sciences | 4 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 46% |
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 10 January 2024.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#81,407
of 247,199 outputs
Outputs of similar age from BMC Genomics
#97
of 267 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 247,199 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 54% of its contemporaries.
We're also able to compare this research output to 267 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 61% of its contemporaries.