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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparative transcriptomics of early dipteran development
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-123 |
| Pubmed ID | |
| Authors |
Eva Jiménez-Guri, Jaime Huerta-Cepas, Luca Cozzuto, Karl R Wotton, Hui Kang, Heinz Himmelbauer, Guglielmo Roma, Toni Gabaldón, Johannes Jaeger |
| Abstract |
Modern sequencing technologies have massively increased the amount of data available for comparative genomics. Whole-transcriptome shotgun sequencing (RNA-seq) provides a powerful basis for comparative studies. In particular, this approach holds great promise for emerging model species in fields such as evolutionary developmental biology (evo-devo). |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 15% |
| United Kingdom | 2 | 15% |
| France | 1 | 8% |
| United States | 1 | 8% |
| Japan | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Germany | 1 | 1% |
| Chile | 1 | 1% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| South Africa | 1 | 1% |
| France | 1 | 1% |
| Taiwan | 1 | 1% |
| United Kingdom | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 79 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 26% |
| Student > Ph. D. Student | 22 | 24% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 11 | 12% |
| Other | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 62% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Computer Science | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Unspecified | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 9 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 May 2021.
All research outputs
#3,050,132
of 23,881,329 outputs
Outputs from BMC Genomics
#1,090
of 10,793 outputs
Outputs of similar age
#25,079
of 195,817 outputs
Outputs of similar age from BMC Genomics
#11
of 128 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 195,817 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.