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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data-mining the FlyAtlas online resource to identify core functional motifs across transporting epithelia
|
|---|---|
| Published in |
BMC Genomics, July 2013
|
| DOI | 10.1186/1471-2164-14-518 |
| Pubmed ID | |
| Authors |
Venkateswara R Chintapalli, Jing Wang, Pawel Herzyk, Shireen A Davies, Julian AT Dow |
| Abstract |
Comparative analysis of tissue-specific transcriptomes is a powerful technique to uncover tissue functions. Our FlyAtlas.org provides authoritative gene expression levels for multiple tissues of Drosophila melanogaster (1). Although the main use of such resources is single gene lookup, there is the potential for powerful meta-analysis to address questions that could not easily be framed otherwise. Here, we illustrate the power of data-mining of FlyAtlas data by comparing epithelial transcriptomes to identify a core set of highly-expressed genes, across the four major epithelial tissues (salivary glands, Malpighian tubules, midgut and hindgut) of both adults and larvae. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 3 | 5% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 54 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Ph. D. Student | 13 | 22% |
| Student > Bachelor | 6 | 10% |
| Other | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 37% |
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 11 | 19% |
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 02 October 2013.
All research outputs
#13,661,887
of 23,577,654 outputs
Outputs from BMC Genomics
#4,891
of 10,777 outputs
Outputs of similar age
#104,583
of 199,996 outputs
Outputs of similar age from BMC Genomics
#45
of 118 outputs
Altmetric has tracked 23,577,654 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 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 52% 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 199,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 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 58% of its contemporaries.